Energy saving potentials of Moscow apartment buildings in residential districts

Paiho, Satu; Hedman, Åsa; Abdurafikov, Rinat; Hoang, Ha; Sepponen, Mari; Kouhia, Ilpo; Meinander, Malin

doi:10.1016/j.enbuild.2013.07.084

Cited by 33 publications

(37 citation statements)

References 3 publications

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“…In contrast to suggestions coming from the literature [28], it was not possible to consider all the available refurbishment technologies due to normative and/or territorial constraints. For example, the installation of ground source heat pumps cannot be pursued in the urban area under examination.…”

Section: The Energy-attribute Analysis (Eaa)mentioning

confidence: 63%

“…Accordingly, in order to properly assess the problem, we first analyzed the relevant international literature to consider a wide range of sensible attributes in the energy field [27,28]. However, due to the specific requests coming from the DIMMER partners, an empirical analysis of the real estate market in Turin was essential.…”

Section: The Energy-attribute Analysis (Eaa)mentioning

confidence: 99%

“…After having set up Dashboard, we developed three alternative scenarios (Table 1) based on the relevant literature review on district energy scenarios [28] and the data assessed by the EAA. We considered the possible energy demand reduction achieved by the installation of high-performance windows and exterior insulation and finishing system (EIFS).…”

Section: Development Of the Alternative Scenariosmentioning

confidence: 99%

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An Integrated Participative Spatial Decision Support System for Smart Energy Urban Scenarios: A Financial and Economic Approach

2017

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Abstract:The decision-making process regarding heating supply system options in a district perspective is extremely challenging. This paper aims to present a new method to support urban energy decisions in real-time processes, which was developed in the context of a European project (DIMMER (District Information Modeling and Management for Energy Reduction, 2013Reduction, -2016). The method is composed of three parts: (i) a new web-based spatial decision support system (SDSS), called "Dashboard"; (ii) an ad hoc energy-attribute analysis (EAA) tool to be integrated into Dashboard; and (iii) a multi-criteria decision analysis (MCDA). In contrast to other SDSSs, one of the main strengths of Dashboard is the ability to acquire, store, and manage both geo-referenced and non-geo-referenced data, and perform real-time analyses of spatial problems taking into account a wide range of information. In this sense, Dashboard can formally visualize and assess a potentially infinite number of attributes and information, as it is able to read and process very large web databases. This characteristic makes Dashboard a very effective tool that can be used in real-time during focus groups or workshops to understand how the criterion trade-offs evolve when one, or several, decision parameters change. The paper describes the main procedure of the new method and testing of Dashboard test on a district in Turin (Italy).

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Section: The Energy-attribute Analysis (Eaa)mentioning

confidence: 63%

Section: The Energy-attribute Analysis (Eaa)mentioning

confidence: 99%

Section: Development Of the Alternative Scenariosmentioning

confidence: 99%

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An Integrated Participative Spatial Decision Support System for Smart Energy Urban Scenarios: A Financial and Economic Approach

2017

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“…Building renovation has the potential to save up to 68% heating load of the building [110]. Another study by Tommerup [107] pointed out that heatingrelated energy for buildings has the potential to be saved by 80% in Denmark after renovation.…”

Section: Energy-efficient Renovation Of Existing Buildingsmentioning

confidence: 99%

District heating and cooling optimization and enhancement – Towards integration of renewables, storage and smart grid

Liu

Rezgui

Zhu

2017

Renewable and Sustainable Energy Reviews

133

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Optimization and Enhancement of DHC networks to reduce (a) fossil fuel consumption, CO 2 emission, and heat losses across the network, while (b) increasing return on investment, forming key challenges faced by decision makers in the fast developing energy landscape. While the academic literature is abundant of research based on field experiments, simulations, optimization strategies and algorithms etc., there is a lack of a comprehensive review that addresses the multi-faceted dimensions of the optimization and enhancement of DHC systems with a view to promote integration of smart grids, energy storage and increased share of renewable energy. The paper focuses on four areas: energy generation, energy distribution, heat substations, and terminal users, identifying state-of-the-art methods and solutions, while paving the way for future research.

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“…As the average heating energy consumption (including both space heating and heating of domestic hot water) for old multi-family buildings is about 229 kWh/m 2 /year but only 77 kWh/m 2 /year for new ones, it is evident that rehabilitating projects could offer extensive energy savings [6]. There are quite a few recent studies [7][8][9][10][11][12], which also discuss the considerable potential to improve energy-efficiency in Russian residential buildings and the related infrastructure in districts. A study by IFC and World Bank [1] presents that residential, commercial and public buildings hold the greatest potential to decrease final energy consumption in Russia, as energy efficiency investments could enable savings up to 68.6 Mtoe per year, and the technical potential to reduce energy consumption of residential buildings would be 53.4 Mtoe [1].…”

Section: Introductionmentioning

confidence: 99%

Non-Technical Barriers to Energy Efficient Renovation of Residential Buildings and Potential Policy Instruments to overcome Them—Evidence from Young Russian Adults

Paiho

Ahvenniemi

2017

Buildings

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Several scientific articles discuss non-technical barriers and policy instruments related to energy efficient building renovation. However, they are seldom systematically categorized and hardly ever related to Russian context even if Russian housing provides remarkable potential for energy-efficiency improvements. This paper identifies non-technical barriers to building energy renovations and potential policy instruments to overcome these barriers. The study was carried out by using the following methods: first, we mapped the barriers and policy instruments addressed in renovation-related studies. Following this step, we studied the importance of barriers and the feasibility of various policy instruments in and with a few selected Russian experts. The outcome of the interviews indicates that standards, information dissemination and awareness raising are the most efficient instruments to promote energy renovations of buildings in Russia. Both students and the interviewed Russian experts shared the view that the role of the Government is highly important regarding introduction of these instruments.

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Energy saving potentials of Moscow apartment buildings in residential districts

Cited by 33 publications

References 3 publications

An Integrated Participative Spatial Decision Support System for Smart Energy Urban Scenarios: A Financial and Economic Approach

An Integrated Participative Spatial Decision Support System for Smart Energy Urban Scenarios: A Financial and Economic Approach

District heating and cooling optimization and enhancement – Towards integration of renewables, storage and smart grid

Non-Technical Barriers to Energy Efficient Renovation of Residential Buildings and Potential Policy Instruments to overcome Them—Evidence from Young Russian Adults

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