The Experts below are selected from a list of 33177 Experts worldwide ranked by ideXlab platform
Seppo Junnila - One of the best experts on this subject based on the ideXlab platform.
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using real estate market fundamentals to determine the correct discount rate for decentralised energy investments
Sustainable Cities and Society, 2020Co-Authors: Niina Leskinen, Jussi Vimpari, Seppo JunnilaAbstract:Abstract Decentralised renewable energy production (on-site energy) is potentially more profitable than commonly believed, especially in urban areas characterized with well-functioning real estate markets and low Property yields. Traditional calculation methods, such as the levelized cost of energy, ignore the value on-site energy production can create to Property Owners through capitalizing the decreased energy costs. Past research has found that these methods are very sensitive to the discount rate, whose selection is very difficult. Evaluating the profitability of on-site energy as part of the underlying Property has two major benefits: Property yields, defined by real estate markets, can be used as accurate discount rates and economic value created to the Property Owner is quantified. To justify the use of Property yields, risk profiles of energy and Property investments are compared in this paper. Subsequently, a theoretical framework of on-site energy investment risks is created and demonstrated with geographical information system analysis modelling the profitability of rooftop photovoltaics in all buildings in the city of Vantaa, Finland. The findings question the traditional way of equalising the discount rates of on-site energy investments in larger geographical areas and suggest that Property yields can be used as discount rates for on-site energy investments.
Niina Leskinen - One of the best experts on this subject based on the ideXlab platform.
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using real estate market fundamentals to determine the correct discount rate for decentralised energy investments
Sustainable Cities and Society, 2020Co-Authors: Niina Leskinen, Jussi Vimpari, Seppo JunnilaAbstract:Abstract Decentralised renewable energy production (on-site energy) is potentially more profitable than commonly believed, especially in urban areas characterized with well-functioning real estate markets and low Property yields. Traditional calculation methods, such as the levelized cost of energy, ignore the value on-site energy production can create to Property Owners through capitalizing the decreased energy costs. Past research has found that these methods are very sensitive to the discount rate, whose selection is very difficult. Evaluating the profitability of on-site energy as part of the underlying Property has two major benefits: Property yields, defined by real estate markets, can be used as accurate discount rates and economic value created to the Property Owner is quantified. To justify the use of Property yields, risk profiles of energy and Property investments are compared in this paper. Subsequently, a theoretical framework of on-site energy investment risks is created and demonstrated with geographical information system analysis modelling the profitability of rooftop photovoltaics in all buildings in the city of Vantaa, Finland. The findings question the traditional way of equalising the discount rates of on-site energy investments in larger geographical areas and suggest that Property yields can be used as discount rates for on-site energy investments.
Jussi Vimpari - One of the best experts on this subject based on the ideXlab platform.
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using real estate market fundamentals to determine the correct discount rate for decentralised energy investments
Sustainable Cities and Society, 2020Co-Authors: Niina Leskinen, Jussi Vimpari, Seppo JunnilaAbstract:Abstract Decentralised renewable energy production (on-site energy) is potentially more profitable than commonly believed, especially in urban areas characterized with well-functioning real estate markets and low Property yields. Traditional calculation methods, such as the levelized cost of energy, ignore the value on-site energy production can create to Property Owners through capitalizing the decreased energy costs. Past research has found that these methods are very sensitive to the discount rate, whose selection is very difficult. Evaluating the profitability of on-site energy as part of the underlying Property has two major benefits: Property yields, defined by real estate markets, can be used as accurate discount rates and economic value created to the Property Owner is quantified. To justify the use of Property yields, risk profiles of energy and Property investments are compared in this paper. Subsequently, a theoretical framework of on-site energy investment risks is created and demonstrated with geographical information system analysis modelling the profitability of rooftop photovoltaics in all buildings in the city of Vantaa, Finland. The findings question the traditional way of equalising the discount rates of on-site energy investments in larger geographical areas and suggest that Property yields can be used as discount rates for on-site energy investments.
Moshfegh Bahram - One of the best experts on this subject based on the ideXlab platform.
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Further development of the change-point model – Differentiating thermal power characteristics for a residential district in a cold climate
'Elsevier BV', 2021Co-Authors: Milić Vlatko, Rohdin Patrik, Moshfegh BahramAbstract:The building and service sector accounts for nearly 40% of total energy use in Sweden. The existing, historic building stock accounts for large part of this energy use and comprises an important part of the national pursuit to increase energy efficiency. One main problem for decreasing energy use in the existing building stock is the lack of data describing thermal performance characteristics. This paper presents a novel development of the change-point model for predicting the thermal performance of buildings using selected time periods based on time-dependent variations in climate and user behavior. The predicted thermal power characteristics include total specific heat losses (Qtotal), energy use for hot water circulation (HWC) and hot tap water (HTW), and balance temperature. A residential district with 73 historic buildings in Linköping, Sweden, has been used as the study object. The developed model is shown to be effective and robust for describing building thermal performance. The average R2 was 0.70 for predictions of specific heat losses. The sensitivity analyses conclude that the selected time steps and months correspond to the highest R2 value. The average variation width for prediction of the balance temperature is 0.9 °C for buildings in the interquartile range based on a three-year comparison of hourly heating power supply data. Moreover, from a Property Owner perspective, the model is shown to be useful for identifying deviating thermal power characteristics and can easily be used to get an overview of a district
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Further development of the change-point model - Differentiating thermal power characteristics for a residential district in a cold climate
'Elsevier BV', 2021Co-Authors: Milić Vlatko, Rohdin Patrik, Moshfegh BahramAbstract:The building and service sector accounts for nearly 40% of total energy use in Sweden. The existing, historic building stock accounts for large part of this energy use and comprises an important part of the national pursuit to increase energy efficiency. One main problem for decreasing energy use in the existing building stock is the lack of data describing thermal performance characteristics. This paper presents a novel development of the change-point model for predicting the thermal performance of buildings using selected time periods based on time-dependent variations in climate and user behavior. The predicted thermal power characteristics include total specific heat losses (Q(total)), energy use for hot water circulation (HWC) and hot tap water (HTW), and balance temperature. A residential district with 73 historic buildings in Linkoping, Sweden, has been used as the study object. The developed model is shown to be effective and robust for describing building thermal performance. The average R-2 was 0.70 for predictions of specific heat losses. The sensitivity analyses conclude that the selected time steps and months correspond to the highest R-2 value. The average variation width for prediction of the balance temperature is 0.9 degrees C for buildings in the interquartile range based on a three-year comparison of hourly heating power supply data. Moreover, from a Property Owner perspective, the model is shown to be useful for identifying deviating thermal power characteristics and can easily be used to get an overview of a district. (C) 2020 Elsevier B.V. All rights reserved.Funding Agencies|Swedish Energy AgencySwedish Energy Agency [P31669-3, P44335-1]
Thomas R Cook - One of the best experts on this subject based on the ideXlab platform.
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using linguistic networks to explain strength of intellectual Property rights
World Development, 2016Co-Authors: Thomas R CookAbstract:What explains the strength of intellectual Property rights (IPR)? While extant research would suggest democratic governments are better constrained to protect Property rights, we are agnostic about this mechanism with respect to IPR. We argue IPR—distinct from physical Property by their lack of geographical boundaries—are stronger in states not because Property Owners have a democratic voice, but because they can exit the state as an alternative. We test this argument using a newly constructed network variable that measures the degree of linguistic compatibility between states based on languages of education. We contend that the cost of exit is lower when the language of the intellectual Property Owner is widely used globally; and vice versa. This linguistic network variable improves on traditional common-language measures in that it considers the same language can be spoken in more than just a pair of dyads and that the education sector is an important arena for disseminating languages that need not be official. We find that (1) democracy has a weak and usually non-significant effect but (2) high linguistic compatibility has a strong and robust effect. The results call attention to the conceptual heterogeneity of Property rights and the limited theoretical linkage between regime type and these bundles of rights.
