Energy optimization potential for interconnected buildings in a new urban development project
The society is going through transformations in several dimensions at the same time. The energy system is moving towards renewables and reduced resource intensity. Market structures are gradually changing, and new actors emerge to compete with incumbents. Digitization creates fundamentally new condi...
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ftkthstockholm:oai:DiVA.org:kth-273167 2023-05-15T16:08:54+02:00 Energy optimization potential for interconnected buildings in a new urban development project Yi, Lian 2020 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273167 eng eng KTH, Energiteknik TRITA-ITM-EX 2020:4 http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273167 info:eu-repo/semantics/openAccess Energy system building combination energy optimization grid city block economy methodology Python Energy Systems Energisystem Student thesis info:eu-repo/semantics/bachelorThesis text 2020 ftkthstockholm 2022-08-11T12:40:14Z The society is going through transformations in several dimensions at the same time. The energy system is moving towards renewables and reduced resource intensity. Market structures are gradually changing, and new actors emerge to compete with incumbents. Digitization creates fundamentally new conditions for everyone. Cities are being reimagined and are driving much of the transformation. Energy optimization becomes a heated topic for the whole society. This thesis research collaborated with the company SWECO Energy Strategies group investigates one part of energy optimization: proposing different possible scenarios of combining different types of buildings in a city block to urban designers and real estate company. The objective of this research is to find out the suitable combinations leading to an evener and lower demand profile from the perspectives of energy supply and the grid. This thesis project will try different methods to identify the most promising combination of various functioned buildings and develop a new methodology to solve the similar cases. A city block with either several types of building or single type of building can have an even and low energy profile. Moreover, there isn’t a definite relationship between the flatness of energy profile and the correlated amount of total demand. In this project, different scenarios are created and tested by the assistance of Python programing language and Solver installed in Excel. Through a series of tests and analysis, the best case is found with the most area of residential buildings. Qualitatively economic analysis is done, proving that an even energy profile is conducive to the cost-saving. Through the conducted case study, a general methodology is developed, which facilitates urban designers to design similar projects to some extent in the future. Bachelor Thesis evener Royal Institute of Technology, Stockholm: KTHs Publication Database DiVA |
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Royal Institute of Technology, Stockholm: KTHs Publication Database DiVA |
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ftkthstockholm |
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English |
topic |
Energy system building combination energy optimization grid city block economy methodology Python Energy Systems Energisystem |
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Energy system building combination energy optimization grid city block economy methodology Python Energy Systems Energisystem Yi, Lian Energy optimization potential for interconnected buildings in a new urban development project |
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Energy system building combination energy optimization grid city block economy methodology Python Energy Systems Energisystem |
description |
The society is going through transformations in several dimensions at the same time. The energy system is moving towards renewables and reduced resource intensity. Market structures are gradually changing, and new actors emerge to compete with incumbents. Digitization creates fundamentally new conditions for everyone. Cities are being reimagined and are driving much of the transformation. Energy optimization becomes a heated topic for the whole society. This thesis research collaborated with the company SWECO Energy Strategies group investigates one part of energy optimization: proposing different possible scenarios of combining different types of buildings in a city block to urban designers and real estate company. The objective of this research is to find out the suitable combinations leading to an evener and lower demand profile from the perspectives of energy supply and the grid. This thesis project will try different methods to identify the most promising combination of various functioned buildings and develop a new methodology to solve the similar cases. A city block with either several types of building or single type of building can have an even and low energy profile. Moreover, there isn’t a definite relationship between the flatness of energy profile and the correlated amount of total demand. In this project, different scenarios are created and tested by the assistance of Python programing language and Solver installed in Excel. Through a series of tests and analysis, the best case is found with the most area of residential buildings. Qualitatively economic analysis is done, proving that an even energy profile is conducive to the cost-saving. Through the conducted case study, a general methodology is developed, which facilitates urban designers to design similar projects to some extent in the future. |
format |
Bachelor Thesis |
author |
Yi, Lian |
author_facet |
Yi, Lian |
author_sort |
Yi, Lian |
title |
Energy optimization potential for interconnected buildings in a new urban development project |
title_short |
Energy optimization potential for interconnected buildings in a new urban development project |
title_full |
Energy optimization potential for interconnected buildings in a new urban development project |
title_fullStr |
Energy optimization potential for interconnected buildings in a new urban development project |
title_full_unstemmed |
Energy optimization potential for interconnected buildings in a new urban development project |
title_sort |
energy optimization potential for interconnected buildings in a new urban development project |
publisher |
KTH, Energiteknik |
publishDate |
2020 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273167 |
genre |
evener |
genre_facet |
evener |
op_relation |
TRITA-ITM-EX 2020:4 http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273167 |
op_rights |
info:eu-repo/semantics/openAccess |
_version_ |
1766404916411105280 |