Cost-Optimized Heat and Power Supply for Residential Buildings: The Cost-Reducing Effect of Forming Smart Energy Neighborhoods
The Clean Energy for all Europeans Package by the EU aims, among other things, to enable collective self-consumption for various forms of energy. This step towards more prosumer-based and decentralized energy systems comes at a time when energy planning at a neighborhood scale is on the rise in many...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-08-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/14/16/5093 |
_version_ | 1797523991986962432 |
---|---|
author | Christoph Bahret Ludger Eltrop |
author_facet | Christoph Bahret Ludger Eltrop |
author_sort | Christoph Bahret |
collection | DOAJ |
description | The Clean Energy for all Europeans Package by the EU aims, among other things, to enable collective self-consumption for various forms of energy. This step towards more prosumer-based and decentralized energy systems comes at a time when energy planning at a neighborhood scale is on the rise in many countries. It is widely assumed that—from a prosumer’s cost-perspective—shared conversion and storage technologies supplying more than a single building can be advantageous. However, it is not clear whether this is the case generally or only under certain conditions. By analyzing idealized building clusters at different degrees of urbanization (DOU), a linear-optimization approach is used to study the cost difference between shared energy infrastructure (smart energy neighborhoods, SENs) and individually planned buildings. This procedure is carried out for various emission reduction targets. The results show, that with higher emission reduction targets the advantage of SENs increases within rural environments and can reach up to 16%. Nevertheless, there are constellations in which the share of energetic infrastructure among buildings does not lead to any economic advantages. For example, in the case of building clusters with less than four buildings, almost no cost advantage is found. The result of this study underlines the importance of energy system planning within the process of urban planning. |
first_indexed | 2024-03-10T08:51:01Z |
format | Article |
id | doaj.art-c2207fe262f9411d996275dc1d8d629d |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-10T08:51:01Z |
publishDate | 2021-08-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-c2207fe262f9411d996275dc1d8d629d2023-11-22T07:31:53ZengMDPI AGEnergies1996-10732021-08-011416509310.3390/en14165093Cost-Optimized Heat and Power Supply for Residential Buildings: The Cost-Reducing Effect of Forming Smart Energy NeighborhoodsChristoph Bahret0Ludger Eltrop1Institute of Energy Economics and Rational Energy Use, University of Stuttgart, 70565 Stuttgart, GermanyInstitute of Energy Economics and Rational Energy Use, University of Stuttgart, 70565 Stuttgart, GermanyThe Clean Energy for all Europeans Package by the EU aims, among other things, to enable collective self-consumption for various forms of energy. This step towards more prosumer-based and decentralized energy systems comes at a time when energy planning at a neighborhood scale is on the rise in many countries. It is widely assumed that—from a prosumer’s cost-perspective—shared conversion and storage technologies supplying more than a single building can be advantageous. However, it is not clear whether this is the case generally or only under certain conditions. By analyzing idealized building clusters at different degrees of urbanization (DOU), a linear-optimization approach is used to study the cost difference between shared energy infrastructure (smart energy neighborhoods, SENs) and individually planned buildings. This procedure is carried out for various emission reduction targets. The results show, that with higher emission reduction targets the advantage of SENs increases within rural environments and can reach up to 16%. Nevertheless, there are constellations in which the share of energetic infrastructure among buildings does not lead to any economic advantages. For example, in the case of building clusters with less than four buildings, almost no cost advantage is found. The result of this study underlines the importance of energy system planning within the process of urban planning.https://www.mdpi.com/1996-1073/14/16/5093smart energy neighborhoodlinear optimizationefficient reduction of emissions |
spellingShingle | Christoph Bahret Ludger Eltrop Cost-Optimized Heat and Power Supply for Residential Buildings: The Cost-Reducing Effect of Forming Smart Energy Neighborhoods Energies smart energy neighborhood linear optimization efficient reduction of emissions |
title | Cost-Optimized Heat and Power Supply for Residential Buildings: The Cost-Reducing Effect of Forming Smart Energy Neighborhoods |
title_full | Cost-Optimized Heat and Power Supply for Residential Buildings: The Cost-Reducing Effect of Forming Smart Energy Neighborhoods |
title_fullStr | Cost-Optimized Heat and Power Supply for Residential Buildings: The Cost-Reducing Effect of Forming Smart Energy Neighborhoods |
title_full_unstemmed | Cost-Optimized Heat and Power Supply for Residential Buildings: The Cost-Reducing Effect of Forming Smart Energy Neighborhoods |
title_short | Cost-Optimized Heat and Power Supply for Residential Buildings: The Cost-Reducing Effect of Forming Smart Energy Neighborhoods |
title_sort | cost optimized heat and power supply for residential buildings the cost reducing effect of forming smart energy neighborhoods |
topic | smart energy neighborhood linear optimization efficient reduction of emissions |
url | https://www.mdpi.com/1996-1073/14/16/5093 |
work_keys_str_mv | AT christophbahret costoptimizedheatandpowersupplyforresidentialbuildingsthecostreducingeffectofformingsmartenergyneighborhoods AT ludgereltrop costoptimizedheatandpowersupplyforresidentialbuildingsthecostreducingeffectofformingsmartenergyneighborhoods |