A Systematic Approach to Predict the Economic and Environmental Effects of the Cost-Optimal Energy Renovation of a Historic Building District on the District Heating System

Vlatko Milić, Shahnaz Amiri and Bahram Moshfegh
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Vlatko Milić: Division of Energy Systems, Department of Management and Engineering, Linköping University, 581 83 Linköping, Sweden
Shahnaz Amiri: Division of Energy Systems, Department of Management and Engineering, Linköping University, 581 83 Linköping, Sweden
Bahram Moshfegh: Division of Energy Systems, Department of Management and Engineering, Linköping University, 581 83 Linköping, Sweden

Energies, 2020, vol. 13, issue 1, 1-25

Abstract: The economic and environmental performance of a district heating (DH) system is to a great extent affected by the size and dynamic behavior of the DH load. By implementing energy efficiency measures (EEMs) to increase a building’s thermal performance and by performing cost-optimal energy renovation, the operation of the DH system will be altered. This study presents a systematic approach consisting of building categorization, life cycle cost (LCC) optimization, building energy simulation and energy system optimization procedures, investigating the profitability and environmental performance of cost-optimal energy renovation of a historic building district on the DH system. The results show that the proposed approach can successfully be used to predict the economic and environmental effects of cost-optimal energy renovation of a building district on the local DH system. The results revealed that the financial gains of the district are between 186 MSEK (23%) and 218 MSEK (27%) and the financial losses for the DH system vary between 117–194 MSEK (5–8%). However, the suggested renovation measures decrease the local and global CO 2 emissions by 71–75 metric ton of CO 2eq. /year (4%) and 3545–3727 metric ton of CO 2eq. /year (41–43%), respectively. Total primary energy use was decreased from 57.2 GWh/year to 52.0–52.2 GWh/year.

Keywords: LCC optimization; building energy simulation; energy system optimization; energy renovation; historic building district; district heating system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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