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| Srl | Item |
| 1 |
ID:
127886
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| Publication |
2014.
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| Summary/Abstract |
The number of multi-family housing complexes (MFHCs) over 15 yr old in South Korea is expected to exceed 5 million by 2015. Accordingly, the demand for energy retrofit in the deteriorating MFHCs is rapidly increasing. This study aimed to develop a decision support model for establishing the optimal energy retrofit strategy for existing MFHCs. It can provide clear criteria for establishing the carbon emissions reduction target (CERT) and allow efficient budget allocation for conducting the energy retrofit. The CERT for "S" MFHC, one of MFHCs located in Seoul, as a case study, was set at 23.0% (electricity) and 27.9% (gas energy). In the economic and environmental assessment, it was determined that scenario #12 was the optimal scenario (ranked second with regard to NPV40 (net present value at year 40) and third with regard to SIR40 (saving to investment ratio at year 40). The proposed model could be useful for owners, construction managers, or policymakers in charge of establishing energy retrofit strategy for existing MFHCs. It could allow contractors in a competitive bidding process to rationally establish the CERT and select the optimal energy retrofit strategy. It can be also applied to any other country or sector in a global environment.
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| 2 |
ID:
127944
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| Publication |
2014.
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| Summary/Abstract |
ACM, Active Community Member, person that takes the initiative to fill out an application on behalf of a community; Seed, randomly selected ACM that allowed us to start collecting information; Ego, person that is interviewed. An Ego can also be an Alter, if it is mentioned by another Ego; Alter, people that provided (Type 1) or received (Type 2) information, as recalled by the Ego; Type 1 edge, an information flow in which an Alter provides information to an Ego; Type 2 edge, an information flow in which an Ego provides information to an Alter; Student, a person whose main occupation is to go to school; Radio, a message spread through the radio. Usually local stations in which an individual is interviewed; Internet, information about the stoves posted on Proyecto Mirador's Website; Maquila, a person that works at a factory for an international company, textile and food processing factories are usual; Agriculture, a peasant that works on agriculture, regardless of land tenancy; Health, a nurse, doctor or other health worker; Church, a priest, nun, minister or person who works as a minister of a faith; Education, a person who works as a school teacher or university professor; PM or PM associates, direct employees of Proyecto Mirador and its Implementers; Other NGO, a person that works on other non-governmental organizations. For example, Peace corps, Hivueras, Plan Honduras; Local, a local leader that has an appointment in the community but does not receive a monetary compensation. For example, members of the water board, village councils; Housewife, a woman whose main occupation is to keep the house; Business, a person that does commerce or services, includes people that sell food informally, artisans, masons, etc.; Government, a person who works directly for the government (except education and health practitioners); PM employees, direct employees without the implementers
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| 3 |
ID:
125414
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| Publication |
2013.
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| Summary/Abstract |
The amount of energy consumption of individual buildings is a widely discussed theme. However, there are few studies that have analyzed the consumption of energy by groups of buildings. This work aims to develop a model able to estimate the energy consumption by residential sectors, in different areas inside a city, through the adoption of an energy planning methodology using the city of Belo Horizonte, Brazil as a case study. In this model, the most important variables of consumption behavior are related to the economy. The methodology coupled different approaches. Its first step was to survey the ownership of appliances and the socioeconomic profile of households in each region inside of the city, through the statistical analysis of census data. The second step was to characterize the average energy consumption by typical residential equipment. Then, it was possible to compute the energy consumption according to equipment and region. Finally, the modeled municipal energy consumption was compared with that recorded by the energy utility company. As a result, maps of energy consumed by end use are presented for the years 1991, 2000, and 2007. The conclusions of this work can be applied in energy planning projections and in local urban planning.
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