Investigating cost-optimal refurbishment strategies for the medieval district of Visby in Sweden

Liu, Linn; Rohdin, Patrik; Moshfegh, Bahram

doi:10.1016/j.enbuild.2017.10.002

Cited by 21 publications

(22 citation statements)

References 18 publications

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“…From an energy savings perspective, it is especially important to study the historic building stock because of the generally poorer thermal performance of older buildings compared to newer ones [4]. An example of investigating the energy savings potential in historic building districts includes the work presented in Liu et al [5] using the historic district in Visby, Sweden, as a case study. The district was connected to the municipality's DH system.…”

Section: Introductionmentioning

confidence: 99%

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

2020

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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 CO2 emissions by 71–75 metric ton of CO2eq./year (4%) and 3545–3727 metric ton of CO2eq./year (41–43%), respectively. Total primary energy use was decreased from 57.2 GWh/year to 52.0–52.2 GWh/year.

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Section: Introductionmentioning

confidence: 99%

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

2020

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“…Increased focus on the cost-effective reduction in energy use of buildings leads to the development of a constraint on maximal energy use using multiple integer linear programming (MILP), so that the most suitable EEMs can be identified for a predefined target. The tool has been used in several studies of multi-family buildings and historic buildings [20,21,26,[56][57][58]. The validation of the heat demand calculated in OPERA-MILP has been performed using a dynamic whole building simulation [21,59] [62].…”

Section: Lcc Optimal Energy Renvoationmentioning

confidence: 99%

“…The cost-effectiveness of EEMs will vary between building types, thermal performance before implementing EEMs, and the costs of EEMs and supplied energy. As the cost-effectiveness is dependent on the building and context, several studies have used optimization approaches to find the cost-optimal level of improved energy efficiency as part of building renovations [20,21,[24][25][26][27][28]. For example, Niemelä et al [25] found that it was not cost-optimal to implement EEMs in Finish multifamily buildings from the 1960 that had a primary energy use of 165 kWh/m 2 , before implementing any EEMs.…”

Section: Introductionmentioning

confidence: 99%

“…Although this could be a driver for demolition and new construction, Power [32] argues that the demolition and construction of a new building instead of renovation can disadvantage economically weak families. Buildings with formally protected cultural heritage value have limitations in the possibilities of changing the aesthetics of the building, thus making both extensive energy renovation measures and demolition unsuitable [20,21,26].…”

Section: Introductionmentioning

confidence: 99%

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Energy Renovation versus Demolition and Construction of a New Building—A Comparative Analysis of a Swedish Multi-Family Building

2019

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This study addresses the life cycle costs (LCC) of energy renovation, and the demolition and construction of a new building. A comparison is made between LCC optimal energy renovations of four different building types with thermal performance, representing Swedish constructions from the 1940s, 1950s, 1960s, and 1970s, as well as the demolition of the building and construction of a new building that complies with the Swedish building code. A Swedish multi-family building from the 1960s is used as a reference building. LCC optimal energy renovations are identified with energy saving targets ranging between 10% and 70%, in addition to the lowest possible life cycle cost. The analyses show that an ambitious energy renovation is not cost-optimal in any of the studied buildings, if achieving the lowest LCC is the objective function. The cost of the demolition and construction of a new building is higher compared to energy renovation to the same energy performance. The higher rent in new buildings does not compensate for the higher cost of new construction. A more ambitious renovation is required in buildings that have a shape factor with a high internal volume to heated floor area ratio.

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“…In some studies, it is considered that "from an economic point of view, it is crucial to minimize the life cycle cost of buildings undergoing energy renovations, hence an optimization approach is needed" [12]. Other research has shown that Life Cycle Cost (LCC) optimization and building categorization can be used to achieve a systematic study of cost-optimal energy efficiency potential (CEEP) [13]. In some studies, it is considered that the cost-optimal level of care for a whole building stock is a complex task [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Selection of Energy Efficiency Projects for Dwelling Stock to Achieve Optimal Project Portfolio at the Regional Level by Applying LCC. An Analysis Based on Three Scenarios in the South-Muntenia Region of Romania

2018

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Abstract:The joint action of the European directives and the national strategies make the issue of energy efficiency of the dwelling stock one of the main research directions in the field. The purpose of this study is to create and apply a methodology for developing the portfolio of projects to increase the energy efficiency of the dwelling stock at a regional level through the use of life cycle cost. For this, eight types of energy efficiency improvement projects and three implementation scenarios were selected for the dwelling stock. For each project life cycle cost was determined in each county of the South-Muntenia region based on the estimation of the energy requirements, the costs of implementation and exploitation. In all three scenarios, the P3 Energy Efficiency Project (the reference building without shutters under the Romanian normative) had minimal life cycle cost in most counties in the region. For each scenario the life cycle cost was determined for the optimal portfolio of projects at regional level. The maximum scenario was chosen as the optimal scenario for regional implementation.

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Investigating cost-optimal refurbishment strategies for the medieval district of Visby in Sweden

Cited by 21 publications

References 18 publications

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

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

Energy Renovation versus Demolition and Construction of a New Building—A Comparative Analysis of a Swedish Multi-Family Building

Selection of Energy Efficiency Projects for Dwelling Stock to Achieve Optimal Project Portfolio at the Regional Level by Applying LCC. An Analysis Based on Three Scenarios in the South-Muntenia Region of Romania

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