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Auflistung nach Autor:in "Ishida, Takeshi"

1 - 3 von 3
  • Konferenzbeitrag
    A GIS-based Model for the Assessment of Energy and Environmental Contributions of Distributed Energy Systems
    (Managing Environmental Knowledge, 2006) Mori, Shunsuke; Ito, Junichi; Ishida, Takeshi; Morimoto, Shinichiro
    Cogeneration systems (CGS) and District Heating Systems (DHC) are often expected to contribute to the energy conservation and CO2 emission reduction in the commercial and residential buildings. However, since the contribution strongly depends on the regional conditions as well as the energy demand patterns, existing assessments have mainly dealt with the certain building or a district. In this paper, to evaluate the potential reduction of CGS and DHC more generally, we develop a GIS based energy system assessment model. We pick up seven regions of Utsunomiya-city which locates near Tokyo and has 450 thousand inhabitants, as a typical mid-size city of Japan. Applying GIS, we evaluate detailed energy demand statistics, which are then transferred to the energy flow model taking into account the properties of the energy equipments. The outputs of the model are then applied to estimate the potential contribution of the distributed energy systems to the whole Utsunomiya city.
  • Konferenzbeitrag
    An Analysis of Regional Energy Demand and an Assessment of Potential CO2 Emission Reduction in Japan Using GIS
    (Environmental Informatics and Systems Research, 2007) Mori, Shunsuke; Koike, Shogen; Ishida, Takeshi
    This paper aims at the estimation of the contributions of distributed power systems to CO2 emission reduction and cost saving concretely by region of Japan. In our previous work (Mori, 2006), we picked up a medium city Utsunomiya which is located in the centre of Japan to evaluate the potential contribution of heat pump(HP), cogeneration system(CGS), district heating system (DHC) and their optimal combination to reduce CO2 emission. Since demand patterns on heat and electricity vary among consumer types and climate conditions, it is not applicable to evaluate the whole contribution of the above energy equipments to the CO2 emission reduction for Japan. In this paper, as an extension of our previous work, we applied the method to Sapporo and Okinawa located in north and south part of Japan and evaluate the potential contribution of them. We found a linear relationship between the ratio of commercial building floor area to total building floor area and potential CO2 reduction rate in case of full option and HP case in spite of the large difference of climate conditions. Assuming that the relationship between density of residential building area and the distance from the center of the city of Utsunomiya holds in other regions, we evaluate the potential CO2 reduction of the new energy equipments for 950 Japan cities where 18.6% CO2 emission reduction potential in total is indicated. Although there remain many issues in our study, this is the first estimation on the contribution of DHC, CGS and HP considering the partial load properties and GIS based detailed building data.
  • Konferenzbeitrag
    Integrated Assessment Model for Urban Energy Network System
    (Environmental Informatics and Industrial Ecology, 2008) Ishida, Takeshi; Mori, Shunsuke
    We have constructed a model to evaluate a distributed energy supply network system in an urban district and have evaluated an actual urban district in Utsunomiya, a mid-size city in Japan. This model enables us to deduce an energy-saving plan through energy exchange between residential and commercial buildings in the district. We conducted a case study in the actual urban district and examined the possibility of energy saving and CO2 reduction. From GIS data, we calculated the floor space and building space. Then using the model, we then estimated the energy load of each building and calculated the total energy load of the urban district. We evaluated the potential CO2 reduction as well we energy savings under the following three cases: case 1—installing a cogeneration system (CGS) in each building, case 2—installing a CGS in each building and an energy exchange network connecting the buildings, and case 3—the installation of a CGS and an energy exchange network with the minimum purchase of electricity to the district. The evaluated results indicated the installation capacity and operating conditions of the network system, considering the surplus electric power of photovoltaic systems and CGSs. Further, for case 2, the energy consumption to be reduced by approximately 2% comparing with case 1.