Showing posts with label smart home. Show all posts
Showing posts with label smart home. Show all posts

Monday, October 5, 2026

Going Off-Grid: The Hidden Bill Is Called December

A recent article in the Salzburger Nachrichten tells the story of Klaus Strasser, an electrical engineer who built a house in St. Gilgen with no connection to the public grid at all. His own PV and battery system covers everything: heating (via a ground source heat pump), hot water, and household loads for a home that also serves as his office. It is a genuinely impressive piece of engineering. He put about 100 m² of panels on the roof and the facade (21 kWp in total), designed a custom two-battery setup to get clean 400 V three-phase power out of two normally incompatible battery chemistries, and sized his battery bank to ride out seven to ten days without sun. Eight years in, the system has apparently failed him only once, for 90 minutes.

Reading that made me want to check the numbers for a more ordinary case: a newer, well-insulated but not passive-house-standard home somewhere around Klagenfurt, heated with a heat pump, with an EV added a bit later. Would going off-grid make sense there too, or does Strasser's approach only pay off because he built a genuinely oversized, purpose-designed system from day one? Let's do the math.

The setup

Assume a single-family house built around 2017, decent insulation, heat pump for both space heating and hot water. Annual electricity consumption is 6,500 kWh, mostly concentrated in the colder half of the year because of the heating load. An EV gets added later, bringing annual consumption up to about 8,500 kWh.

The roof comfortably fits a 10 kWp system (part of it is shaded by a tree, but let's not worry about that for now). Using a real Meteonorm-calibrated solar yield simulation for Klagenfurt, that system would produce about 10,953 kWh per year, which is more than enough to cover the 8,500 kWh of annual consumption on paper. So far, so good.

The catch is that annual totals hide the timing problem. Here is the average daily production and consumption per month:

 


In December and January, this 10 kWp system produces only about a third of what the house needs on an average day. From March through October, it produces a comfortable surplus, peaking at nearly two and a half times the daily consumption in June.

Two different reasons for the winter deficit

It's worth pulling apart what actually causes that winter dip, because it's really two separate effects layered on top of each other.

The first is simply shorter days. Less daylight reaching the panels each day, a direct consequence of the Earth's axial tilt, and it happens everywhere that has a real winter. This alone accounts for the dip in the production curve above.

The second is heating demand. Because this is a heat pump house, the electrical consumption side rises in exactly the same months that production is at its weakest, which is the worst possible timing for a system that has to balance daily.

These two effects are related, but maybe not in the way it first looks. It's the reduced solar input of shorter, lower-angle winter days that is the underlying reason it gets cold in the first place, in terms of the surface energy balance. The heating demand is a downstream consequence of that same seasonal solar minimum, and how severe it gets depends on latitude: further from the equator, that minimum is colder.

Which has a nice implication: the heating penalty isn't a fixed law of going off-grid, it's a property of a specific climate and latitude. Move the same house far enough south, or let a few more decades of global warming run their course, and the picture eventually flips: no more heating load in winter, but a cooling load in summer instead, right when PV output is at its peak. At that point the seasonal mismatch would actually shrink rather than grow, since summer cooling demand and summer PV surplus line up nicely, unlike winter heating demand and winter PV deficit. The math in this post is specific to our climate today, not an inherent limitation of PV autonomy as such.

What it would take to close the winter gap with PV alone

If the house is grid-connected, this seasonal mismatch barely matters: the grid absorbs the summer surplus and covers the winter deficit, and net metering or feed-in tariffs settle the difference. But full autonomy, by definition, is not allowed to rely on the grid. So the system has to produce enough on an average December day and an average January day to meet consumption on those days too, not just meet the annual total.

Scaling up (keeping the same roof mix and orientation) to hit that daily balance in the two worst months gives:

Month Consumption/day Production/day at 10 kWp Required system size
January 26.7 kWh 12.1 kWh ≈ 22 kWp
December 26.7 kWh 10.1 kWh ≈ 26.5 kWp

So the array would need to be about 2.6 times larger than the roof-only 10 kWp system, roughly 145 m² of module area (around 58 panels at 460 Wp each). That is already well beyond the 121 m² of usable roof area assumed here, which is exactly the kind of constraint that pushed Strasser toward using vertical facade surfaces in addition to his roof. In our hypothetical case, closing the winter gap the same way would mean covering most of the south, west, and east facades with panels as well, on top of the roof.

And even if enough surface area were available, a 26.5 kWp system built to satisfy December would massively overshoot the rest of the year. At that size, an average June day would yield somewhere around 130 kWh, against a consumption of about 20 kWh. That is roughly 6.5 times more than the house can use on that day. Without a grid connection to sell that surplus into, most of it would simply have to be curtailed, since there is no affordable seasonal storage technology that lets a household charge up in summer and draw it down five months later in winter. Multi-day battery buffering, like the 7 to 10 days Strasser built in, helps with cloudy stretches, but it does nothing for a structural seasonal shortfall that lasts weeks.

So what would actually help?

To be clear, none of this is a knock on what Strasser built. Going fully off-grid is a legitimate and interesting engineering goal, and if you are willing to over-build the PV array, use every available surface including facades, and invest in a serious multi-day battery, it clearly works, his own house is the proof. It is also worth remembering that he never fully gave up the option either: a grid connection was prepared during construction, just never activated.

For a house that does not want to go that far, the more sensible response to this same winter problem is usually not more PV area, but one of two other levers:

  • Stay grid-connected and let the winter deficit be covered by grid draw while the summer surplus gets fed in. Given that the "right-sized" 10 kWp array already overproduces by a factor of about 1.3 annually, there is a reasonable economic case for feeding that surplus back into the grid rather than throwing it away, since the cost of a modest grid connection is easily justified by the value of the exported summer energy.
  • Diversify the heat source for the winter months, for example with a wood or pellet backup, so that the electrical load in December and January drops closer to the summer baseline. This attacks the actual root cause (a heating-driven winter consumption peak) instead of trying to out-build it with panels.

Winter autarky bought purely through PV oversizing is, in most residential cases, the economically weakest of these options. It is a fun problem to size on paper though, and seeing how quickly the required array grows once you demand daily balance in December is a good reminder of just how seasonal solar really is at this latitude.

Monday, July 14, 2014

Load Hiding of Household's Power Demand

Our publication "Load Hiding of Household's Power Demand" is accepted at the IEEE SmartGridComm 2014. The SmartGridComm 2014 will take place in Venice, a fascinating and marvelous Italian city, on November 3-6, 2014.

Load Hiding of Household's Power Demand, Dominik Egarter, Christoph Prokop, Wilfried Elmenreich

With the development and introduction of smart metering, the energy information for costumers will change from infrequent manual meter readings to fine-grained energy consumption data. On the one hand these fine-grained measurements will lead to an improvement in costumers’ energy habits, but on the other hand the fined-grained data produces in- formation about a household and also households’ inhabitants, which are the basis for many future privacy issues. To ensure household privacy and smart meter information owned by the household inhabitants, load hiding techniques were introduced to obfuscate the load demand visible at the household energy meter. In this work, a state-of-the-art battery- based load hiding (BLH) technique, which uses a controllable battery to disguise the power consumption and a novel load hiding technique called load-based load hiding (LLH) are presented. An LLH system uses an controllable household appliance to obfuscate the household’s power demand. We evaluate and compare both load hiding techniques on real household data and show that both techniques can strengthen household privacy but only LLH can increase appliance level privacy.
An authors' version is available in arXiv: http://arxiv.org/abs/1406.2534


 

Thursday, June 12, 2014

Workshop on Human Centered Energy Management

1st Interdisciplinary Workshop on Human Centered Energy Management
to be held from 7th to 11th of July 2014
at Lakeside Science & Technology Park, Klagenfurt, Austria.

An inter-faculty research field “Energy Management and Energy Technologies”, staffed by academics from a wide range of disciplines, has recently been established at the Alpen-Adria University Klagenfurt (AAU Klagenfurt). Research efforts focus on energy management and energy innovation, networked and de- central energy systems. Together with the Faculty of Technical Sciences (TeWi), the Faculty for Management and Economics (WiWi) and the Faculty of Interdisciplinary Studies (IFF), this new research area will be further developed in cooperation with external partners such as the Lakeside Park.







The Lakeside Park is a platform for cooperation between enterprises and university institutions in the information and communication technology (ICT) sectors. A place of interdisciplinary research and development, training, production and services. The focus of the Lakeside Park is on selected topics of information and communication technology and complementary technologies such as energy systems. In the Interreg IV projects “Smart Energy” and “Efficient, Effective, Smart” the Lakeside Park establishes inter-regional contacts to strengthen collaborative research and development. Therefore, the Lakeside Park and the AAU introduce this novel interdisciplinary workshop with focus on “Human Centered Energy Management”.
Lakeside Park Klagenfurt with a view to the Wörthersee

Human Centered Energy Management

To ensure an efficient production, supply and consumption of energy, it is necessary to introduce novel technologies. Energy monitoring units, new smart control and managing techniques shall improve energy efficiency in the smallest entities of the common power grid – the Smart Building with its inhabitants and its neighborhood. In that respect the individual human being plays a crucial role for energy management tasks. On the one hand it is necessary to improve the energy efficiency of the costumer’s home to reduce energy consumption and costs. On the other hand also the decrease of environmental pollution by optimal utilization of energy resources is a major task of future energy systems.

The proposed workshop “Human Centered Energy Management” takes up these tasks and tries to identify problems and solutions for human centered energy management tasks in an interdisciplinary manner.

Format and Objectives

The aim of the workshop is to give regional experts, such as local professors and young researchers of the AAU, the opportunity to discuss and elaborate ideas with world-wide experts and to introduce and to discuss further ideas in an interdisciplinary setup. Therefore, participants with academic backgrounds and an interest on novel smart energy management systems as well as companies and research institutes are welcome to present and to discuss their research tasks and ideas.

The workshop will have a dedicated “industry day” providing the companies a platform to introduce their problems and to elaborate possible solutions and ideas with experts in the field of energy systems from different disciplines. The general format of the workshop lasts one week with key-speaker inputs and group work with discussions and presentations. Therefore, the event provides an excellent platform for scientific exchange, networking, establishment of international collaboration and the initiation of joint research projects.

Addressed Topics:

  • ICT solutions and approaches for smart home management and systems for integrated energy management.
  • Integration of smart and legacy appliances, renewable energy sources and storage systems in buildings to improve energy efficiency and awareness of inhabitants.
  • Identification, modeling and simulation of energy systems and human behavior
  • Energy data analysis and feedback approaches and behavior influencing information systems
  • Economics and law aspects of human centered energy managements systems in respect to smart homes, smart metering and energy data analysis as well as for renewable energy production and storage systems.
  • Market and business models for ICT-based energy services designed to improve the recent power grid and homes.
For more information about the workshop and how it is possible to participate, please contact dominik.egarter@aau.at.

Friday, October 18, 2013

Strategies for domestic energy conservation in Carinthia and Friuli-Venezia Giulia

A recent study carried out by Ernst & Young on the behalf of the German Federal Ministry of Economics analyzed benefits and costs of smart metering in the country and concluded that the savings for the residential customers do not justify the costs. Therefore, a less precipitous replacement of existing meters should be arranged, which would place German utilities in conflict with the EU's target of 80% of consumers equipped with smart meters by 2020.

In the MONERGY project, we aim at providing ICT solutions to promote energy awareness and conservation, in order to lower wastages and costs, and thus CO2 emissions. In particular, we are committed to propose specific strategies considering the peculiarities of two regions under experiment: Carinthia (Austria) and Friuli-Venezia Giulia (Italy). Our initial decision was therefore to conduct an analysis of typical scenarios in the regions, in terms of electrical devices used, availability of smart metering and adaptive tariff plans, exploitation of renewable energy generation. Results of this study are presented in the paper "Strategies for domestic energy conservation in Carinthia and Friuli-Venezia Giulia", which is to be presented next November 12th at the EnergieInformatik conference, in Vienna. Beside spotting similarities and differences in the regions, we also provide a short survey on existing conservation strategies that could be implemented to our purposes.



A simple conservation strategy improving energy awareness is prepaid billing. The user can buy a certain amount of energy in advance, and get his credit decreased upon consumption, and until it reaches zero, which causes a disconnection from the grid. This simple mechanism was shown leading to up to 11% of savings for the customers in UK.
From the survey it turned out that the highest savings can be achieved by employing persuasive interfaces, i.e. interactive computing systems displaying enhanced consumption information in order to promote behavioural change. In particular, appliance-level consumption information, both indirect and real-time can boost user's energy awareness, while self-learning mechanisms can be triggered by analytics and recommendations. We therefore decided to implement a prepaid billing system charging individual electrical appliances upon occurrence of consumption events. The system is currently based on the open hardware metering platform called OpenEnergyMonitor. Basically, consumption information is collected down to individual monitored devices by means of current transformers, enhanced with situational information such as time and duration, and sent to a cloud-based web service which manages the user's credit. An Android app was implemented to manage the credit and to provide the user with a smart notification system, which alerts him upon specific events (e.g. credit is over).


We believe that this system can increase the resolution of the consumption feedback and boost energy awareness of users in Carinthia and Friuli, being already applicable in spite of the differences previously spotted. We are currently planning to assess the acceptance of the system and the deriving savings within a case study in actual households in the regions. The strategy will be discussed in the poster session of the next ACM Workshop on Embedded Systems for Energy-Efficient Buildings (BuildSys'13), specifically in "Insert coin: turning the household into a prepaid billing system". We are very much looking forward to getting your comments on our ongoing research. 
In case you are interested in getting further information, an extensive overview of the project is provided by our first deliverable and the project website.
on Embedded Systems for Energy-Efficient Buildings (BuildSys’13) - See more at: http://www.monergy-project.eu/publications/#sthash.7rzhebIn.dpuf
on Embedded Systems for Energy-Efficient Buildings (BuildSys’13) - See more at: http://www.monergy-project.eu/publications/#sthash.7rzhebIn.dpuf
on Embedded Systems for Energy-Efficient Buildings (BuildSys’13) - See more at: http://www.monergy-project.eu/publications/#sthash.7rzhebIn.dpuf
on Embedded Systems for Energy-Efficient Buildings (BuildSys’13) - See more at: http://www.monergy-project.eu/publications/#sthash.7rzhebIn.dpuf

Tuesday, July 30, 2013

Interns@SmartGrid_group

Today we report of a short interview we had with two of our interns, who have been working for one month on developing a web-based home energy management system, consisting in an Android application and a web service.



What's your name? 
Matthias

What are you studying?
I have been studying electronics and technical informatics a the HTL Mössingerstraße in Klagenfurt. This year I finished the 2nd class. 

What are your expectations for the future?
After the HTL I want to study software/game development and found a software company.

What your working on?
I worked on two different versions of the same Android app, as well as a REST webservice implemented in PHP.
Basically, I have designed and implemented a MySQL database, and used the php webservice to handle the data and expose the functionalities to the android app I then developed. The apps differ for the JSON protocol used. In fact, only one of these apps is using the php webservice I implemented, the other one is a solution we prepared to mantain retro-compatibility with the old version of the app that was already working for an older project and running on the Google App Engine platform.


Beside calling the REST interface, the apps also implement a smart notification system which exploits the Google Cloud messaging infrastructure to implement push messages from the cloud to the terminals. We use this smart notification system to inform users upon occurrence of certain events of interest.




 
What did you like of the project?
I like the idea to show the users how much they consume. I think it would be cool if in future energy providers such as Kelag worked with an automatic metering system, so that nobody is required to read the electricity meter for being charged and it is easier to get an understanding of how energy is actually used.





What's your name?
Alexander

What are you studying?
Electronics and technical informatics at the HTL Mössingerstraße in Klagenfurt.
This year I finished the 4° class, therefore next year I will conclude the HTL.

What are your expectations for the future?
After working for our military I would like to start studying in a similar kind of education or this combined with economics.

What your working on?
During my internship I worked on interactive data visualization. At the beginning I analyzed existing libraries and made a summary of their characteristics before selecting the ones we were looking for. Then, I prepared a graphical interface exploiting the Google Chart and the Chap links chart libraries. The website can do the same things of the Android application.
Basically, the system collects events, such as running a washing machine, which are enhanced by a cost and a duration and shown on a timeline. We can also see the trends for the costs, as users can add money to devices and get an understanding of the cost of carrying out daily life activities.
Currently the data is retrieved from the database using PHP, and all events and payments are shown on the timeline. This raises several issues on performance that I am currently trying to solve using asynchronous calls to the DB, using XMLHttpRequest (i.e., the famous AJAX used in many of the websites we used everyday). I am also investigating ways of keeping the interface up to date, especially concerning the itemization of the energy consumed for the day, using periodically running procedures and/or using triggers on the database.




What did you like of the project?
I had the possibility to work on something I haven’t worked with before. I didn’t have much knowledge on javascript and php but after this month I can say I have programmed a whole website, using advanced tools such as sessions and cookies. I think this was more useful for me than working with programming languages I already know better.

Wednesday, May 22, 2013

Integrating Households into the Smart Grid

On May 20th 2013 we attended the first IEEE Workshop on Modeling and Simulation of Cyber-Physical Energy Systems. The workshop was collocated with the fourth International Conference on Future Energy Systems (ACM e-Energy), to be held in Berkeley on May 22th, 23th and 24rd.



The topics presented were very variegated. In the first session the papers were mostly concerning simulations of building or system-scale aspects in the grid (distribution, market, power flow modeling). The opening presentation was given by Kyle Anderson from Stanford University, presenting the GridSpice simulator, a cloud-based simulation tool which relies on multiple agents to run different existing simulation tools (MATPOWER and GridLab-D) and mantain the overall simulation consistence with a central coordinator. It also provides a RESTful interface to access the simulation, so that it can be integrated in third-part applications.

In the second session more applied and variegated aspects were presented.
We opened this session with the paper "Integrating Households into the Smart Grid". It deals with the problem of device and data interoperability created by the highly heterogeneous ecosystem of digital devices present in homes. In the paper we discuss requirements that should be addressed when copying with such a complex network. We show that an architecture based on REST webservices and linked data streams would be able to tackle this complexity. Applications can access the data through a uniform interface consisting in specific APIs and standardized query languages, as well as agreed ontologies for the specific use case.

The following presentation surveyed existing ontologies for smart home and smart energy systems and was held by Marco Grassi from Università Politecnica delle Marche. This completed the device and data interoperability issues and gave the audience a complete overview of this side of the smart grid.
The following presentations dealt with security aspects of the grid, such as detecting spoofing attacks on power grid GPS sensors. Also, multi-agent algorithms and control schemes were proposed for various aspects involving cyber-physical energy systems (i.e., resource bargaining, model-predictive control, coordination of power flow controllers).

References: