ChatGPT and similar AI models will disrupt the knowledge industry

In case you’ve missed it, last year chatGPT (a so called AI language model) had it’s breakthrough. ChatGPT was created by OpenAi, an initiative where one of the founders were Elon Musk. OpenAI was intended to ensure that the development of AI technology was done in a democratic way and accessible to everyone. However, this was thwarted when Microsoft bought OpenAI to make it a propriety technology. Anyhow, AI is here to stay, and most likely the development will now accelerate and soon enough there will be a disruption in how the world economy works. AI will and in many cases already have begun to disrupt whole industries, turning everything on its head.

How will those of us working in the knowledge industry be affected by this revolution? It might be too early to say, but I asked chatGPT what it had to say:

Language models like ChatGPT are already disrupting the knowledge industry and are likely to continue doing so in the future. These models have the ability to process and analyze vast amounts of information from a wide variety of sources, and can then generate human-like responses to questions and prompts.

One of the key ways that language models will disrupt the knowledge industry is by democratizing access to information. In the past, individuals and organizations often had to rely on experts or specialized databases to access information and insights. Now, with language models like ChatGPT, anyone with an internet connection can ask complex questions and receive answers in real-time. This has the potential to level the playing field for students, researchers, and other knowledge-seekers, regardless of their background or location.

Another way that language models will disrupt the knowledge industry is by transforming the way that we learn and teach. With the help of these models, we can now create personalized learning experiences that are tailored to the needs and interests of individual learners. This can help to increase engagement, motivation, and retention of knowledge, and can also help to address the challenges of teaching in diverse and rapidly changing environments.

Finally, language models will also disrupt the knowledge industry by changing the way that we think about expertise and authority. In the past, experts were often defined by their education, experience, and credentials. Now, with the rise of language models, anyone can access the same information and insights as these experts, regardless of their formal qualifications. This will likely lead to a shift in how we define and value expertise, and may also lead to changes in the way that we evaluate and reward knowledge and innovation.

So there you have it. With the power of AI, everyone is an expert in anything, right? Well it remains to be seen whether formal training and education has any impact on how well we can utilize and internalize the power of AI language model. One must also remember that language models doesn’t generate any new primary knowledge (at the moment), but it can and do generate new insights and knowledge through synthesis and analysis of existing knowledge. Exciting times indeed.

Who owns your wastewater?

Or at least the energy it contains? Let’s start by defining the issue.

Wastewater generated by households contain significant amounts of energy in the form of latent heat. The heating of the wastewater comes from, among other things, everyday activities in our homes, like showering, cooking and washing. The extra heat energy greatly benefits treatment processes in the wastewater treatment plant, especially denitrification, and WWTP design in fact relies on the added heat energy for its proper function.

Property owners on the other hand are becoming increasingly aware of the energy potential of wastewater and society are calling for increased energy efficiency of buildings.

In this case there is a matter of conflicting interests, where property owners have an incentive to save money and energy by recovering heat from wastewater, while municipal WWTP need the heat to continue BAU. There are proponents for regulation and even prohibition of building-level heat recovery from wastewater as widespread adoption would incur cost increases downstream.

However, this raises a few interesting questions. Should energy efficient appliances be regulated too? Can dishwashers become too energy efficient? What about showers? There are solutions on the market that recovers 30-80% of the heat energy from shower water, either through heat exchange or recirculating the shower water. Should these be banned? Maybe we should also ban taking cold showers, since those who enjoy this strange pleasure don’t contribute their share to the common good.

Maybe a fee corresponding to the temperature deficiency of the wastewater that a property generates? How about 4 SEK per Δ°C m3 below 20°C?

Provocative questions, but what is your opinion? Who owns the energy in the wastewater? How do we resolve this conflict of interests in the most efficient way (by this I mean efficient in an overall way for society)?

Greywater reuse has multilayer benefits for facility managers and society overall

Linear water use in the techno sphere creates high loads on the whole potable water supply chain, from water sources, drinking water production, distribution, sewage collection and wastewater treatment. The industry is facing immense challenges globally, due to both aging infrastructure and increased water demand due to population increase, gentrification and urbanization. Coupled with overexploitation of water supply sources there is an escalating water crisis in many region.

From a property owner perspective, the linear water consumption translates into increasing utility bills for both water and energy as significant amounts of energy is flushed into the drain together with precious water.

The adaptation of various water reuse schemes has the potential to mitigate the escalating crisis by decreasing the demand on municipal potable water, while at the same time reducing the water and energy bills as linear water use is moving towards circularity.

A reduction in water demand from new developments will offset the need for costly investments in the infrastructure, reduce the pressure on water supply sources and may also offer and opportunity to specifically target the removal of emerging priority pollutant from personal hygiene products and pharmaceuticals, something that proves a challenge in the municipal wastewater treatment plants.

As technology matures along regulations water reuse will be implemented in an increasing share of new developments, and maybe even retrofitted into existing building stock. This development must be supported by research efforts to ensure a efficient, safe and secure implementation and to avoid potentially costly mistakes.

Below are some links (in Swedish) to illustrate the development in Sweden.

Aiisa AI trading assisstant

I stumbled over Aiisa, an AI driven app that provide trading advice in what is basically a swing trading scheme. Each night Aiisa analyses the stock market and based on the analysis gives an advice for each stock, either buy, hold or sell.

If the AI belive that a short-term bottom is imminent a buy advice is given, and vice versa. The company claims on their homepage that over the last year Aiisa managed to achieve a 77% yield which of course is fantastic if true.

The whole idea is that you buy and sell depending on the advice you get from Aiisa each, and it is worth noting that it is up to you to buy low and sell high, as intra-day movements are not analysed.

I decided to try it out for one month, and after a couple of days the outcome is less than impressive I’d say and so far the numbers are all red, but to be fair it is not meaningful to assess any strategy after only a couple of days, so I will hold off my judgement.

The cost for Aiisa is 99 SEK/month, but they have a 30 day free trial. Apart from the Aiisa app you will need a trading account. Personally I use Avanza which offer commission-free trading as long as your account worth is below 50k SEK.

I will check it out and then let you know if it is any good. And no, I am not paid by Aiisa for writing this post. However, if you chose to click the above link and sign up with Avanza I will get some change in return. I can be upfront with that, because Avanza is really an awsome platform.

Monthly addition to portfolio

I have done the market analysis and found 5 candidates that deserves to be added to the portfolio, namely

Name (EBIT/EV, ROIC)

Orexo (13.0%, 58.8%)
Tethys Oil (49.3%, 20.7%)
Nordic entertainment group (10.1%, 45.7%)
Ferronordic (16.0%, 31.2%)
Neles (17.3%, 17.5%)

These five companies represent both value for money (high EBIT/EV quotient), meaning they are traded at a discount at the moment, and quality (Return on invested capital; ROIC), i.e. they show that they can return a good profit on invested capital. Three of theese companies are Stockholm Mid Cap, one Large Cap and one Helsinki Large Cap. Will be interesting to follow these over the next year to see how they perform over the next year.

On the other end I sold my entire post EQT cashing in 42% increase. I think this company is overbought at the moment (EBIT/EV 1.1%) but I will problably buy again at the next dip. Castellum and SKF B went under the club, freeing up some funds for new investments

Auto-format Excel scientific notation in Word

Typically when you copy and paste data from Excel to Word you get the ugly scientific notation that Excel uses, of the kind 3.23E+03 or 6.29E-07, which are hard to read, at least if you have been thaught that it should really be written like 3.23×10³.

Re-formatting by hand is tedious and can be really time consuming of you have many entries. Therefore I created a macro that will automatically look for all #.##E+-# and replace them with the more pleasantly looking #.##×10^# . You can copy the below code and insert in the VBA editor as a new macro.

[code] Sub scientificnotation() ’ put in general form Selection.Find.ClearFormatting Selection.Find.Replacement.ClearFormatting With Selection.Find .Text = ”([0-9.]@)E([-+0-9]@)([0-9]{2;3})” .Replacement.Text = ”\1## × 10##\2\3##” .Forward = True .Wrap = wdFindContinue .Format = False .MatchCase = False .MatchWholeWord = False .MatchAllWordForms = False .MatchSoundsLike = False .MatchWildcards = True End With Selection.Find.Execute Replace:=wdReplaceAll ’ take out leading 0 exponents Selection.Find.ClearFormatting Selection.Find.Replacement.ClearFormatting With Selection.Find .Text = ”##+0” .Replacement.Text = ”##+” .Forward = True .Wrap = wdFindContinue .Format = True .MatchCase = False .MatchWholeWord = False .MatchAllWordForms = False .MatchSoundsLike = False .MatchWildcards = False End With Selection.Find.Execute Replace:=wdReplaceAll ’ take out + exponents Selection.Find.ClearFormatting Selection.Find.Replacement.ClearFormatting With Selection.Find .Text = ”##+” .Replacement.Text = ”##” .Forward = True .Wrap = wdFindContinue .Format = True .MatchCase = False .MatchWholeWord = False .MatchAllWordForms = False .MatchSoundsLike = False .MatchWildcards = False End With Selection.Find.Execute Replace:=wdReplaceAll ’ take out leading 0 exponents for negative numbers Selection.Find.ClearFormatting Selection.Find.Replacement.ClearFormatting With Selection.Find .Text = ”##-0” .Replacement.Text = ”##-” .Forward = True .Wrap = wdFindContinue .Format = True .MatchCase = False .MatchWholeWord = False .MatchAllWordForms = False .MatchSoundsLike = False .MatchWildcards = False End With Selection.Find.Execute Replace:=wdReplaceAll ’ free up ×10 Selection.Find.ClearFormatting Selection.Find.Replacement.ClearFormatting With Selection.Find .Text = ”## × 10##” .Replacement.Text = ”×10##” .Forward = True .Wrap = wdFindContinue .Format = True .MatchCase = False .MatchWholeWord = False .MatchAllWordForms = False .MatchSoundsLike = False .MatchWildcards = False End With Selection.Find.Execute Replace:=wdReplaceAll ’ elevate exponents Selection.Find.ClearFormatting Selection.Find.Replacement.ClearFormatting With Selection.Find.Replacement.Font .Superscript = True .Subscript = False End With With Selection.Find .Text = ”##([-+0-9]@)##” .Replacement.Text = ”\1” .Forward = True .Wrap = wdFindContinue .Format = True .MatchCase = False .MatchWholeWord = False .MatchAllWordForms = False .MatchSoundsLike = False .MatchWildcards = True End With Selection.Find.Execute Replace:=wdReplaceAll End Sub [/code]

This macro can also be installed through the macro enable Word template below. Just download and put in the auto load folder for Word.

Scientific_notation.dotm Ladda ner

Simulating greywater reuse in a residential building

The last few weeks I’ve been coding a simulator for greywater reuse scenarios based on real water usage data from HSB Living Lab. The input data is disaggregated hot and cold water consumption, with a time resolution of 10 minutes.

Simulated tank levels in the greywater treatment system

The simulation code allows the researcher to define from what micro-use points greywater is to be collected, and for what purposes it should be reused. The simulation of the treatment system itself is rather archaic, but the output is still kind of cool. The graph above show the levels in the untreated and treated water tanks over a period of 8 days. Tank volumes are 0.3 cbm and the treatment capacity in this run was set to 2 liters per minute, while collecting from sink and shower and reusing for sink, shower and WC. This scenario typically results in 50-60% reduction in total mains hot water consumption and 20-30% total mains cold water consumption.

Another cool feature of the simulator is the possibility to incorporate rain harvesting from real precipitation data into the equation. In the Hadley-cell zone wich defines Gothenburg this gives some pretty interesting numbers.

The results from this simulation should appear in a journal paper ”shortly” (meaning maybe before summer 2020).

Hur använder vi vatten i Sverige?

Det är inte så väl känt hur mycket vatten vi i Sverige använder varje år, och till vad. Kikar man på siffrorna så ser man att Kärnkraften använder överlägset mest vatten, nästan ofattbara 10 miljarder m³ vatten. I princip allt detta vatten är saltvatten, och man återför också vattnet till havet när man använt det.

Vårt sötvatten kommer till största delen från ytvattentäkter (c:a 80%) medan 13% är grundvatten och resterande 7% är ospecificerat. Av denna totala volym behandlas c:a 35% i vattenverk och ingår i det kommunala distributionsnätverket.

Om vi bortser från kärnkraftens användning av saltvatten så återstår tillverkningsindustrin som största sötvattenförbrukare med 1.6 miljarder m³ per år, varav det allra mesta är råvatten. Hushållen förbrukar å sin sida 565 miljoner m³ vatten per år i form av kommunalt dricksvatten samt enskilda brunnar. I runda tal åtgår 164 miljoner kubikmeter vatten för att spola i svenska toaletter, och ungefär lika mycket för dusch och hygien. Det kan vara värt att 211 miljoner kubikmeter kommunalt dricksvatten försvinner årligen till bland annat läckage i trasiga ledningar.

Vattenreningsverken tar emot nästan allt avloppsvatten från hushållen (en mindre del går till recipient via enskilda lösningar) samt 580 miljoner m³ dagvatten som på grund av gamla kombinerade system hamnar i reningsprocessen.

Visst är det fascinerande siffror?

Bläh-faktorn i gråvattenåteranvändning

En av de stora stötestenarna för återanvändning handlar inte om den tekniska lösningen. Vi kan nämligen rena vilket vatten som helst till vilken kvalitet vi vill. Det är bara frågan om vad behovet är, och vad det får kosta. Utmaningen med att lokalt återanvända gråvatten handlar istället om slutanvändarens upplevelse och acceptans. Givietvis dyker det upp en rad betänkligheter och faktorer när man talar om att återföra vatten:

upplevda risker med återanvänt vatten
äckel, eller den s.k. bläh-faktorn
vad ska man använda vattnet till?
var kommer vattnet ifrån?
har jag något val?
litar jag på leverantören?
är det bra för miljön?
individuella värderingar och erfarenheter

Vi kommer be de boende att duscha i vatten som redan använts (av dem själva eller av grannen) och som renats lokalt i byggnaden, till en kvalitet som i de flesta aspekter uppfyller dricksvattennormerna. Den initiala reaktionen hos många, om än inte alla, är skepticism och bläh, eller kanske till och med ”aldrig i livet”. Detta trots att de flest inte har några som helst invändningar mot att simma i offentliga bassänger eller mot att bada vid den lokala badstranden tillsammans med mängder av andra människor (och djur). Man är överlag väldigt positiv att återanvända gråvatten t.ex. för bevattning eller WC-spolning medan skepticismen mot återanvändning i dusch är mycket mer påtaglig (se bild nedan).

Y-axel: 1 = håller inte alls med, 10 = håller fullständigt med. X-axel: svarsfrekvens

Vi har alltså ett jobb framför oss att övertyga de boende om att det varken är äckligt eller farligt att återanvända vatten och att vattnet vi återför är tillräckligt rent. Denna uppgift blir lite enklare då många redan har uppfattningen att miljönyttan är värd en viss uppoffring.

Y-axel: 1 = håller inte alls med, 7 = håller fullständigt med. X-axel: svarsfrekvens

Hur uppnår vi detta? De ska förhoppningsvis nästa projektfas ge vissa svar på.

Report from the greywater reuse project

Below is the final report for the greywater reuse project that was conducted in HSB Living Lab which was partly financed by HSB Living lab research fund and partly Boverket (dnr.6479/2018). The outcome of the project is to be publicly disseminated which is why I publish it here.

The project is unique since bathroom greywater was collected, treated and reused as hot tap water in showers and bathroom sinks.

Report in PDF-format: Final report HSB Living Lab

Final report

Project data

Date of the planned start: 2018-05-23.

We started the project installation January 2019. The project was split into phase 1 and phase 2 due to the regulatory barriers and/or legally unclear demarcation within PBL /BBR, which made the local license from the municipality was obtained

Date of the planned completion of the project: 2019-06-30.

Partners from HSB Living Lab[1] participating in the project: Bengt Dahlgren Science AB, Chalmers university of technology AB.

Project owner: Graytec AB

Project manager: Per Ericson (Graytec AB)

Summary

We typically use 100-200 litre domestic water per day and person and 0.5-1 MWh per year for producing hot water. The future of real estate development most certainly includes water reuse or reutilization schemes, which will in most cases significantly reduce the water and energy footprint of the building. Preparing for and installing one of our systems for greywater reclamation is a value addition to your property.

We have installed and successfully demonstrated the safe operation of an in-building greywater recycling system. By collecting water from bathroom sinks and showers in eight shared bathrooms in HSB Living Lab and subsequentially treating and cleaning the water to better-than drinking water quality we were able to reuse as the water for shower purposes as hot water in two shared bathrooms. This recycling allows for 80-90% water savings for sink and shower use, depending on the amount of cold water mix-in.

Modelling show that the approach demonstrated here can potentially save approximately 55% of the domestic hot water and 40% of total domestic water, where the final number will depend on consumption patterns.

Furthermore, measurements in HSB Living Lab has shown a 50% reduction in energy consumption for sink and shower hot water. All the above was achieved while maintaining high user comfort and satisfying experience.

By spearheading the transition towards the built environment circular water you ensure that your company environmental profile will be strengthened, creating additional value and if you are a property developer this will give you a competitive edge.

Result presentation

Purpose and goal

In phase 2, purified water from the treatment plant will be returned as hot water to two showers in one cluster on level 2. In this phase, the plant will be supplemented with sensors / sensors for to be able to monitor the system’s function in real time. Sensors for measuring conductivity, pH, redox potential and turbidity will be used. This provides monitoring of the system severing activity. As a further barrier against pathogens, the purified water will also be treated low-intensity chlorination before returning it.

Implementation

Greywater from showers and sinks were conducted in separate pipes to the treatment plant.

In phase 1 of the project, the purified water was been discharged to the existing drain from the property. In phase 2, pipes were installed to carry purified water back to two showers in a cluster on the second floor. In order to be able to return the water, a pump and a flow heater were installed to heat the treated water. Principle for connection of purification plant and installation of water return pipe is as shown below. The pump and flow heater, shown in the principle sketch below, were only in operation during experimental campaigns. The flow heater heated the purified water before it was returned as hot water.

To facilitate process monitoring a series of sensors, including pH, conductivity, oxidation and reduction potential (ORP) and turbidity, were installed in the treatment system as shown in Figure 1. This allowed a continuous assessment of system performance and were also used as a basis for system automation. Together with the sensors a new PLC was installed and integrated with existing control systems.

Figure 1. Schematic description of the treatment system installed in phase 2.

To ensure system integrity and user safety a pneumatic automatic valve was installed to enable bypass of the treatment system if control parameters for the greywater exceed certain values. In such cases the greywater was directed to the municipal wastewater system.

The connection to the existing hot water system were done in the water distribution hub as shown in Figure 2. Manual ball-valves allowed operators to switch between mains hot water and recycled hot water for two showers. The recycled water was returned as hot water with a nominal temperature of 42 °C.

Figure 2. Schematic description of installation in distribution central on floor 2.

Results

Water quality

During the project period key performance parameters of water quality was monitored and found to be within target values, and thus deemed to fulfil the security requirement for safe reuse. As seen in Figure 3 key parameters were mostly within drinking water quality standards, with the exception of total organic carbon (TOC) and coliform bacteria. The average value for TOC barely exceeded the quality criteria for drinking water but was deemed safe for the intended purpose. Microbial samples typically returned blank (no microorganisms detected) but on two occasions coliform bacterial and L.pneumophila were detected. Subsequent samples were blank; thus, the two positive samples were deemed to be non-representative, due to either sampling or handling errors, or ties to specific perturbations in the treatment system (e.g. maintenance and cleaning).

Figure 3. Graphs showing average values for water quality key performance parameters for physico-chemical parameters (left) and microbial parameters (right). n=28 for left panel and n=6 for right panel.

Showering event

On the 26^th of September 2019 a total of seven invited people were the first to officially test showering in HSB Living Lab using only recycled hot water. Out of the seven there were one female and one tenant in HSB Living Lab. Showers took place between 10 a.m. and 3 p.m. All participants were asked to sign a disclaim agreement before the test. After completion of the test they were asked to fill out a survey. The result of the survey is discussed below.

Survey

In the shower event seven participants were asked to complete a survey to assess attitudes and experience of using recycled water for showering. The response rate was 100%.

Respondents generally agreed to the statement “I’m generally interested in reducing my own environmental footprint” (x̅ =9.0, x̃ =9). The attitude towards local greywater reuse and for outdoor irrigation is also very positive (x̅ =9.4 and 8.4, x̃ = 10 and 9). The participants disagreed (x̅ =1.1, x̃ =1) to the statement “I experienced discomfort when showering in reused water”. When asked “I would accept the installation a similar system in my home” there was a strong agreement (x̅ =9.7, x̃ = 10).

Figure 4. Graphs showing the respondent scores for questions 1-5 in the shower event survey.

The next subset of statements (likert scale 1-7) investigated the rationale for the opinion on reusing greywater for sink and shower. The results are rather homogenous, and it appears that health risks (x̅ =2.5, x̃ =2) and a concern over what the reclaimed water could contain (x̅ =2.5, x̃ =2) were not factors of great concern. The “yuck-factor” (“I find it disgusting or repulsive”) was not so expressed in this group of respondents (x̅ =2.0, x̃ =1). Participants strongly agreed with the statement “I think it is acceptable considering the environmental benefit” (x̅ =6.8, x̃ =7) and also strongly agreed with “I’m prepared to change my habits to facilitate reuse of greywater” (x̅ =6.1, x̃ =7). As in Survey 1, it is worth noting that statements were not further specified. This means that the level of agreement to the ill-defined statements also reflect on the respondent interpretation of the value statement.

Figure 5. Graphs showing the respondents scores for questions 6-12 in the shower event survey.

Energy savings

The system energy performance was investigated in a separate experiment on January 7^th 2020. In this experiment water was recirculated continuously through the system and one shower on floor 2. The experiment lasted for approximately two hours. The temperature profile of the recirculated water is shown in Figure 6.

Figure 6. Graph showing temperature profile for recirculated water during the energy performance experiment.

The electrical energy consumption for all components in the treatment system were measured and recorded for the duration of the experiment and it was concluded that an energy reduction of 50-55% was achieved compared to the traditional production of domestic hot water. It was also clear that further savings are possible by system optimization, e.g. by reducing parasitic loss and thermal insulation of pipes and tanks.

Time

There were no significant deviations from the planned timeline.

Economy

Because of substantially lower financing we had to allocate the funds as follows; the HSB LL fond grant was used exclusively for consulting support and some plumbing work. Payroll and materials were paid by funds from the NVV, BV and by own input.

Grant from HSB Living Lab’s research fund	Budget	Result
Wage costs	SEK 390 000	SEK 664 060
Materials, equipment*	SEK 839 000	SEK 306 098
Ombyggnation och installation*		SEK 248 931
Tjänster/underleverantörer upphandling ansvar patent*		SEK 76 020
Consulting Bengt Dahlgren	SEK 130 000	SEK 205 290
Tests Chalmers*		SEK 300 000
Project total:	SEK 1 359 000	SEK 1 800 399
Naturvårdsverket, Boverket etc.	SEK -909 000	SEK -1 550 399
Total amount HSB Living Lab’s research fund.	SEK 450 000	SEK 250 000

(*) Included in budget Materials, equipment.

Conclusion

It was demonstrated that reclaimed greywater from sink and shower can safely be reused for shower hot water using an in-building treatment system. It was shown that user experience was not negative in comparison with domestic hot water (DHW) in terms of water quality (aesthetic experience), and that the evaluated temperature of 42 °C was found to be adequate for user comfort. The only negative comment concerned water pressure, which was experienced as lower than for the typical shower.

Planned exploitation

The results from the present project will serve as a demonstration of the feasibility of the concept of local greywater recycling for hygiene purposes. This will enable further development and increase the technology readiness level. Graytec AB can use these results to consolidate their product and service portfolio and use them in negotiations with customers that look to incorporate the technology into their projects.

Part of the results we be published in scientific journals by Jesper Knutsson (Chalmers university of technology). Manuscript is in preparation.

We have been invited to be part of two large projects where we will reclaim greywater. We are also in discussions with two more projects internationally which includes UN and China.
There is a large interest to find new ways of re-use water and our project is showing project owners, building owners, municipalities and others that it is possible and a viable way to save water and energy.

We are looking at possibilities around certain parts of what we do at HLL. Patent application is in progress and additions have been made after each project status.

We have already been part of publications and we are speaking about this in different seminars and planning seminars with SIS in the autumn and other event is waiting for the clarification for pandemic, of the conditions for implementation.

Jesper Knutsson (Chalmers) and Andreas Karlsson (BD) has written some interesting reports. There are a large Formas project that KTH is running, where our project at HLL is a reference and it will be published next year.

If possible we will measure effect repatriation even after the completion of the project, depends of publicity and resources to follow up.

Recommendations and any additional research

Further research on long term microbial performance is needed to ensure that operational conditions and parameters are maintained. Separate project application has been submitted to FORMAS for this purpose. If funding is granted a 3 year research project will improve knowledge about microbial growth and control.

Furthermore, a 4-8 week continuous study of user acceptance and system interaction would greatly enhance the understanding on how users respond to greywater reuse systems as presented here.

Education and outreach text for the website

This project has demonstrated the feasibility of on-site treatment of greywater and local reuse for showering, through a hands-on proof-of-concept demonstration. The quality of the treated greywater is better than, or similar to that of drinking water as regulated by national quality criteria. A survey of test subject experience showed that overall use satisfaction was high.

Greywater reclamation and reuse has potential to reduce energy consumption for shower and sink hot water production with 50-55%, while shower and sink water consumption is reduced by 85-91%. By attaching more water consumption points (i.e. washing machine, WC and kitchen sink) further savings are possible.

Personal reflection

Per Ericson Graytec AB: When I applied for this project in 2017, I had a drawing and an idea and was unsure how it would come together. Fortunately, I met some people that like me, believed in doing things differently to make this world better.

We had some problems get off the ground but now, two and a half years later, we have a working pilot and we are, together with some of the best research facilities and companies in Sweden, showing the world that this is a viable idea and the future in water recycling. The interest we are receiving is extensive and I am very humbled by this and it inspires me to work hard to bring this to market without too much delay.

Reference list

https://www.dn.se/ekonomi/har-kan-de-boende-duscha-i-avloppsvatten/

https://www.gp.se/livsstil/tv%C3%A5-dagar/48-timmar-som-labbr%C3%A5tta-i-huset-som-ska-l%C3%B6sa-bostadskrisen-1.21152106

https://www.infrastrukturnyheter.se/20191030/22494/testar-lokal-atervinning-vatten-fran-badrum

http://www.naturvardsverket.se/upload/stod-i-miljoarbetet/bidrag-och-ersattning/stadsinnovationer/slutrapport-stadsinnovationer-2020-03-15.pdf

Wallin, J., Knutsson, J., Karpouzoglou, T., A multi-disciplinary analysis of building level graywater reutilization for hygiene purposes. – manuscript in preparation

Knutsson, J., Knutsson, P., Water and energy savings from greywater reuse: a modelling scheme using disaggregated consumption data. – submitted to Journal of cleaner production.