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Proceedings ArticleDOI

The role of thermal storage and natural gas in a smart energy system

TL;DR: In this paper, the authors highlight the economic importance of the thermal storage tank, which requires a thermal capacity of two to three times the hourly thermal power output of the CHP to optimize electric power production and limit thermal losses.
Abstract: Smart grids are considered important building blocks of a future energy system that facilitates integration of massive distributed energy resources like gas-fired cogeneration (CHP). The latter produces thermal and electric power together and as such reinforces the interaction between the gas and electricity-distribution systems. Thermal storage makes up the key-source of flexibility that allows decoupling the electricity production from the heat demand. However, smart grids focus on electricity, often disregarding the role of gas and thermal storage in overall smart energy systems. We find that the technical impact of a massive introduction of CHP on the gas-distribution network is limited in most cases, even providing opportunities to free up capacity. Taking the consumer's viewpoint, we highlight the economic importance of the thermal storage tank, which requires a thermal capacity of two to three times the hourly thermal power output of the CHP to optimize electric power production and limit thermal losses. Further increasing the storage tank size can increase the gas-distribution capacity that can be marketed by the distribution system operator, but practical constraints in terms of dedicated land area have to be considered as well.

Summary (3 min read)

The Role of Thermal Storage and Natural Gas in a Smart Energy System

  • JEROEN VANDEWALLE, NICO KEYAERTS AND WILLIAM D'HAESELEER EUI Working Paper RSCAS 2012/48.
  • This text may be downloaded only for personal research purposes.
  • Additional reproduction for other purposes, whether in hard copies or electronically, requires the consent of the author(s), editor(s).
  • If cited or quoted, reference should be made to the full name of the author(s), editor(s), the title, the working paper, or other series, the year and the publisher.
  • ISSN 1028-3625 © 2012 Jeroen Vandewalle, Nico Keyaerts and William D'haeseleer Printed in Italy, September 2012 European University Institute Badia Fiesolana I – 50014 San Domenico di Fiesole (FI) Italy www.eui.eu/RSCAS/Publications/ www.eui.eu cadmus.eui.eu.

Robert Schuman Centre for Advanced Studies

  • The Robert Schuman Centre for Advanced Studies , created in 1992 and directed by Stefano Bartolini since September 2006, aims to develop inter-disciplinary and comparative research and to promote work on the major issues facing the process of integration and European society.
  • The Centre is home to a large post-doctoral programme and hosts major research programmes and projects, and a range of working groups and ad hoc initiatives.
  • Details of the research of the Centre can be found on: http://www.eui.eu/RSCAS/Research/.
  • Research publications take the form of Working Papers, Policy Papers, Distinguished Lectures and books.
  • The EUI and the RSCAS are not responsible for the opinion expressed by the author(s).

Loyola de Palacio Energy Policy Chair

  • The Loyola de Palacio Energy Policy Chair was created in October 2008 at the RSCAS in honour of Loyola de Palacio, former Vice President of the European Commission and Commissioner for Energy and Transportation in the Prodi Commission.
  • Professor Jean-Michel Glachant is the holder of the Chair.
  • The Chair focuses on the fields of energy economics, law, regulation, as well as geo-politics.
  • It addresses topics such as the achievement of the EU internal energy market; sustainable energy systems and the environment; energy security of supply; the EU model of energy regulation; the EU energy competition policy; the EU policy towards carbon free energy systems in 2050.
  • The series of working papers aims at disseminating the work of academics on the above-mentioned energy policy issues.

Subscripts

  • Smart grids are considered as an important next step towards a reliable and sustainable energy provision [1, 2].
  • CHP is a very interesting technology because of its efficient fuel utilization and the possibility to interact with the electricity grid.
  • With thermal storage, the heat production can be decoupled from the heat demand, giving flexibility to produce electricity based on incentives from the electricity system.
  • The impact depends on the exact gas demand of the CHPs, and these depend on the use of thermal storage and the interaction between the gas and electricity distribution systems.
  • The aim of this paper is to focus on the gas distribution system and investigate how the smart grid with massive CHP penetration and thermal storage affects it, or better, how these elements of a smart energy system interact.

A. Assumptions

  • The heating systems of a number of households will be simulated to see what their resulting gas demand is.
  • To find the gas demand of a household, the heating system, including the CHP unit, is simulated, such that if fulfills an imposed heat demand.
  • Fig. 1. Schematic representation of the work flow.
  • The heat to electric output ratio of the CHP is assumed to be 4:1 and the fuel utilization ratio amounts to 95%.
  • The authors suppose a perfectly stratified thermal storage tank.

B. The Heating System Simulation Model

  • The heating system that will be modelled consists of a CHP unit with a separate auxiliary boiler and a thermal storage tank, see Fig.
  • The term adapted annual gas cost is used here because the revenues from the produced electricity are subtracted from the annual gas bill.
  • Equation (2) describes the heat balance: for every hour t, the heat demand (kWh/h) must be met either by the boiler, the CHP or the storage tank.
  • The (dis)charging power of the storage tank during hour t is the variable (kWh/h).

C. Sizing of the CHP and the storage tank

  • The CHP cannot be designed to meet the maximum heat demand because it would be switched on and off very frequently, leading to transient behavior that may shorten the lifetime and the possible energy savings [5].
  • Next, the rectangle with the largest area that can be subscribed by the load-duration diagram is determined.
  • The thermal capacity C (kWh) and the volume V (m³) of the tank have the following relation: (9) where is the density of water, is the thermal capacity of water and is the temperature difference between the high and the low temperature part of the storage tank.
  • The Relative Storage Capacity can be calculated as: (10) According to this method, the CHP in this example should have a thermal output of 4.15 kW and will be on for 2260 hours per year.
  • During spring, autumn and especially the summer, the CHP is much more responsive to the electricity price levels because it will not be on all day.

III. Technical Impact on the Gas Grid

  • This section examines the technical impact of cogeneration on the gas distribution network.
  • The most important parameter to check this is the total gas demand of all households connected to the grid, which should not be higher than the capacity of the gas network in order to be able to supply the households.
  • First, a theoretical maximum impact is derived, followed be a more practical maximum peak demand.
  • The scenarios in this part assume a massive introduction of CHP.
  • Hence, all users are equipped with CHP and thermal storage.

A. Theoretical maximum peak demand

  • The theoretical ‘worst case’ scenario is when all customers act exactly the same; there is no averaging effect and all gas demand peaks will therefore occur at the same time.
  • Next, the authors derive what the maximum increase in peak demand would be in the absence of storage.
  • The maximum peak demand will occur on the coldest day of the year.
  • So, a part of the heat demand will be covered by the CHP and the remaining part by the auxiliary boiler.
  • The ‘theoretical limit’ for the peak gas demand increase = 14% can be regarded as being independent of the buffer size and the electricity price.

B. Practical maximum peak demand

  • In Fig. 6, the authors show how the peak increase changes with the RSC.
  • The latter observation is in contrast with the findings from part A of this section, where increasing the storage tank size beyond the reference value did not have much influence.
  • This outcome occurs because the actual profiles can differ very much from the average profile, such as the one depicted in Fig.
  • The main observation here is that a massive introduction of CHP does not lead to a peak increase for RSC values of 2.3 and higher, but to a peak demand decrease.
  • The grey line represents the average reference gas demand.

C. Conclusions on the technical impact on the gas network

  • It can be concluded that, for their cases and assumptions considered, a massive introduction of CHP would not lead to general technical problems, as long as the thermal storage tanks have a capacity of two or more times the hourly thermal output of the CHP.
  • Local problems in congested pipelines could occur, especially in neighborhoods with similar users.
  • The authors consider a peak demand increase of 14% as a limit, i.e. when all users act exactly the same, which is not likely to occur.
  • Increasing the storage size beyond an RSC of 2.3 further decreases the gas demand peak, creating the opportunity to free up capacity in the gas distribution network.
  • 9 impact on the peak demand is negligible.

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Content maybe subject to copyright    Report

ROBERT SCHUMAN CENTRE FOR ADVANCED STUDIES
Jeroen Vandewalle, Nico Keyaerts and William D'haeseleer
THE ROLE OF THERMAL STORAGE AND NATURAL GAS IN
A SMART ENERGY SYSTEM
EUI Working Papers
RSCAS 2012/48
ROBERT SCHUMAN CENTRE FOR ADVANCED STUDIES
Loyola de Palacio Programme on Energy Policy


EUROPEAN UNIVERSITY INSTITUTE, FLORENCE
ROBERT SCHUMAN CENTRE FOR ADVANCED STUDIES
LOYOLA DE PALACIO PROGRAMME ON ENERGY POLICY
The Role of Thermal Storage and Natural Gas in a Smart Energy System
JEROEN VANDEWALLE, NICO KEYAERTS AND WILLIAM D'HAESELEER
EUI Working Paper RSCAS 2012/48

This text may be downloaded only for personal research purposes. Additional reproduction for other
purposes, whether in hard copies or electronically, requires the consent of the author(s), editor(s).
If cited or quoted, reference should be made to the full name of the author(s), editor(s), the title, the
working paper, or other series, the year and the publisher.
ISSN 1028-3625
© 2012 Jeroen Vandewalle, Nico Keyaerts and William D'haeseleer
Printed in Italy, September 2012
European University Institute
Badia Fiesolana
I 50014 San Domenico di Fiesole (FI)
Italy
www.eui.eu/RSCAS/Publications/
www.eui.eu
cadmus.eui.eu

Robert Schuman Centre for Advanced Studies
The Robert Schuman Centre for Advanced Studies (RSCAS), created in 1992 and directed by Stefano
Bartolini since September 2006, aims to develop inter-disciplinary and comparative research and to
promote work on the major issues facing the process of integration and European society.
The Centre is home to a large post-doctoral programme and hosts major research programmes and
projects, and a range of working groups and ad hoc initiatives. The research agenda is organised
around a set of core themes and is continuously evolving, reflecting the changing agenda of European
integration and the expanding membership of the European Union.
Details of the research of the Centre can be found on:
http://www.eui.eu/RSCAS/Research/
Research publications take the form of Working Papers, Policy Papers, Distinguished Lectures and
books. Most of these are also available on the RSCAS website:
http://www.eui.eu/RSCAS/Publications/
The EUI and the RSCAS are not responsible for the opinion expressed by the author(s).
Loyola de Palacio Energy Policy Chair
The Loyola de Palacio Energy Policy Chair was created in October 2008 at the RSCAS in honour of
Loyola de Palacio, former Vice President of the European Commission and Commissioner for Energy
and Transportation in the Prodi Commission. It promotes research in the area of energy policy. It is
funded by contributions from donors. Professor Jean-Michel Glachant is the holder of the Chair.
The Chair focuses on the fields of energy economics, law, regulation, as well as geo-politics. It
addresses topics such as the achievement of the EU internal energy market; sustainable energy
systems and the environment; energy security of supply; the EU model of energy regulation; the EU
energy competition policy; the EU policy towards carbon free energy systems in 2050.
The series of working papers aims at disseminating the work of academics on the above-mentioned
energy policy issues.
For further information
Loyola de Palacio Energy Policy Chair
Nicole Ahner (scientific coordinator)
Email contact: Nicole.Ahner@eui.eu
Robert Schuman Centre for Advanced Studies
European University Institute
Via delle Fontanelle, 19
I-50016 San Domenico di Fiesole (FI)
Fax: +39055 4685755
http://www.loyola-de-palacio-chair.eu

Citations
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Proceedings ArticleDOI
11 Jun 2018
TL;DR: This work presents the design and application of Model Predictive Control (MPC) for energy management at city-district level and demonstrates the eligibility of MPC for the application at aggregator level for energymanagement in city districts.
Abstract: This work presents the design and application of Model Predictive Control (MPC) for energy management at city-district level. MPC is applied to find an optimal combination of buildings with dispatchable heating systems in order to compensate schedule and forecast deviations of demand and generation. The method combines global objectives, such as integration of renewabies and tracking of a negotiated schedule, together with local objectives, such as individual preferences regarding frequency of switching and thermal storage limitations. Here we present the MPC design with the corresponding system model, objective function and constraints. Based on a test scenario, we assess performance indicators, such as deviation remainder, number of switching events and effects on the individual schedules, and we demonstrate the eligibility of MPC for the application at aggregator level for energy management in city districts.

8 citations

25 Apr 2018
TL;DR: The paper is concerned with a model for control of a steady state of an intelligent integrated energy system and an algorithm intended for the calculation of joint operating conditions of electric and heating systems when integrated is presented.
Abstract: Modern cities and industrial centers boast a developed energy infrastructure, including fuel, electric, heating, and cooling systems. The integration of many separate systems into a single technological entity can provide new functional capabilities, the application of more advanced technologies for operation, and the establishment of intelligent integrated energy systems (IIES). Such systems have a multidimensional structure of functional features and properties of development. They combine a large number of components; intelligence; efficiency; reliability; controllability; flexible use of energy conversion, transportation, and storage technologies; and active demand. The IIES control represents an urgent and a rather challenging task. The paper is concerned with a model for control of a steady state of an intelligent integrated energy system. An algorithm intended for the calculation of joint operating conditions of electric and heating systems when integrated is presented. The results of the research into the joint operation of electric and heating systems are demonstrated on the example of a typical urban area with residential housing that has district electric and heating systems. The obtained results highlight the problems related to separate consideration of expansion and operation of the energy systems, as well as equipment wear and the need to improve the technological and technical level of these systems and use them as a basis for an intelligent integrated energy system

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Cites background from "The role of thermal storage and nat..."

  • ...The implications of switching from hydrocarbon fuel to renewables in the electric system for the district heating systems and gas network were studied in [29, 30]....

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Proceedings ArticleDOI
11 May 2015
TL;DR: An innovative approach has been proposed to actively involve the customer in the energy management, based on a domestic energy gateway, realized using cloud-computing approach, used to collect and visualize the measurements of domestic energy consumption.
Abstract: Smart Grid are aimed to integrate communication infrastructure into the electrical power grid for optimizing the distribution of the energy and reducing the waste of energy. Nevertheless, real energy savings can be obtained only through active participation of customers. In this paper, an innovative approach has been proposed to actively involve the customer in the energy management. The solution is based on a domestic energy gateway, realized using cloud-computing approach, used to collect and visualize the measurements of domestic energy consumption. Compared to already available solutions, the system collects also gas and heating consumptions, because there are strong dependencies between different energies and resources available in a home. The energy gateway is then able to directly interact with Distribution System Operator (DSO) for proposing and suggesting energy optimization strategies, and with other similar devices installed in the neighborhood for encouraging environmental-friendly social behaviors.

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Cites background from "The role of thermal storage and nat..."

  • ...This situation is the ideal background for the development of an integrated Smart Grid, where the different energy resources are under control, allowing the advanced storage (like thermal storage [24]or gas storage [25]) of energy coming from renewable sources....

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References
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Journal ArticleDOI
TL;DR: The main industry drivers of smart grid and the different facets of DER under the smart grid paradigm are explored and the existing and evolving programs at different ISOs/RTOs and the product markets they can participate in are summarized.
Abstract: Demand response (DR), distributed generation (DG), and distributed energy storage (DES) are important ingredients of the emerging smart grid paradigm. For ease of reference we refer to these resources collectively as distributed energy resources (DER). Although much of the DER emerging under smart grid are targeted at the distribution level, DER, and more specifically DR resources, are considered important elements for reliable and economic operation of the transmission system and the wholesale markets. In fact, viewed from transmission and wholesale operations, sometimes the term ?virtual power plant? is used to refer to these resources. In the context of energy and ancillary service markets facilitated by the independent system operators (ISOs)/regional transmission organizations (RTOs), the market products DER/DR can offer may include energy, ancillary services, and/or capacity, depending on the ISO/RTO market design and applicable operational standards. In this paper we first explore the main industry drivers of smart grid and the different facets of DER under the smart grid paradigm. We then concentrate on DR and summarize the existing and evolving programs at different ISOs/RTOs and the product markets they can participate in. We conclude by addressing some of the challenges and potential solutions for implementation of DR under smart grid and market paradigms.

846 citations

Journal ArticleDOI
TL;DR: In this paper, an energy planning methodology is applied to several cases where use of smart energy storage system helps integration of energy flows, transformations and energy demand at the location of the energy end-use or close to it.

199 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigated the impact of thermal storage on the overall CO2 emissions and showed that using a small thermal storage device can significantly prolong the yearly operation time of a CHP facility and allow the cogeneration unit to operate more continuously.
Abstract: When evaluating the environmental impact of small-scale cogeneration facilities, two important boundary conditions are often overlooked. Firstly, cogeneration units are mostly considered as stand-alone facilities, although, in reality, they will be part of a system that may also contain a thermal-storage tank and back-up boiler. Secondly, usually mainly static and simplified methods are used to calculate the possible reduction of CO2 emissions. In this paper, these issues are discussed in two parts. The dimensioning of cogeneration facilities to fulfil a certain heat demand and the impact of thermal-storage tanks on the operational behaviour of these units are dealt with. It is shown that the use of thermal-storage tanks prolongs the yearly operation time of a CHP facility and allows the cogeneration unit to operate more continuously. Also, it is clarified how to interpret thermal load-duration diagrams in a correct way. Furthermore, the impact of thermal storage on the overall CO2 emissions is investigated. Hereby, the interaction with the expansion of the central power system and the annual use of the cogeneration units are two important parameters. Using a small thermal-storage device causes the net reduction of CO2 emissions, in comparison with a reference scenario without additionally installed cogeneration, to be almost three times higher compared to the case without heat buffer. Finally, it is shown that the operational behaviour of multiple small-scale cogeneration units can be approximated by the behaviour of one large fictitious unit for the determination of the net reduction of CO2 emissions.

170 citations

Journal ArticleDOI
TL;DR: An optimisation method based on mixed integer linear programming (MILP) for the management of local heat supply systems with CHPs, heating boilers and thermal storages is developed and allows the production of thermal and electric energy with a maximal benefit.

133 citations

Journal ArticleDOI
TL;DR: In this article, the effect of different hot water storage tank modelling approaches have on the global simulation of residential CHP plants as well as their impact on their economic feasibility is considered.

133 citations


"The role of thermal storage and nat..." refers background in this paper

  • ...06 €/kWh unless ment We suppose a perfectly stratified thermal s means that the hot water does not mix with the tank, and that the thermal conductance of From an energy point of view, the perfectly gives good results compared to the actual which is more complex but describes the storage more accurately [9]....

    [...]

  • ...[9] A....

    [...]

Frequently Asked Questions (17)
Q1. What are the contributions mentioned in the paper "The role of thermal storage and natural gas in a smart energy system" ?

Vandewalle et al. this paper showed that the technical impact of a massive introduction of cogeneration on the gas-distribution network is limited in most cases, even providing opportunities to free up capacity. 

Future work will include the analysis of how to determine the local effects in the gas distribution network. 

Increasing the storage size beyond an RSC of 2.3 further decreases the gas demand peak, creating the opportunity to free up capacity in the gas distribution network. 

In general, the average gas demand is expected to increase with a rising penetration level of CHP, potentially leading to physically congested pipelines. 

the impact depends on the exact gas demand of the CHPs, and these depend on the use of thermal storage and the interaction between the gas and electricity distribution systems. 

It can be concluded that, for their cases and assumptions considered, a massive introduction of CHP would not lead to general technical problems, as long as the thermal storage tanks have a capacity of two or more times the hourly thermal output of the CHP. 

The term adapted annual gas cost is used here because the revenues from the produced electricity are subtracted from theannual gas bill. 

smart grids focus on electricity, often disregarding the role of gas and thermal storage in overall smart energy systems. 

This work was partly funded by the research project on ‘local intelligent networks and energy active regions’ (LINEAR)supported by the Flemish agency for innovation through science and technology (IWT). 

contrary to most renewable DER, CHP is a dispatchable source of electric power because of the continuous availability of gas as its fuel. 

Equation (2) describes the heat balance: for every hour t, the heat demand (kWh/h) must be met either by the boiler, the CHP or the storage tank. 

Besides studying the technical impact on the gas distribution network, the economic rationale of the customer to use CHP should be investigated as that analysis sheds light on how the gas demand can look like if the role of thermal storage is taken into account. 

4. For some heat demand profiles, a RSC of 2.3 is not sufficient to keep the CHP running all night; a higher RSC value would therefore be needed. 

It can also be noted in Fig. 4. that the line for 100 L shows a fallback of gas demand by night because the buffer is not large enough to store enough heat from the CHP to keep it on all night. 

The actual peak increase is case dependent— that is why Fig. 6 is not a smooth curve—but in general, it decreases with increasing relative storageJeroen Vandewalle, Nico Keyaerts and William D'haeseleer8capacity, even when an RSC of 2.3 is exceeded, up to an RSC of 7. 

The natural gas distribution network is represented by a hypothetical model, disregarding the pressure losses and the location of the consumers in the network. 

Increasing the buffer size beyond the optimal value is also be sub-optimal for the customer due to the extra thermal losses of the tank.