Life cycle assessment of low cost retrofit options of educational building considering renewable and non renewable energies

Transcription

1 Engineering Conferences International ECI Digital Archives Life Cycle Assessment and Other Assessment Tools for Waste Management and Resource Optimization Proceedings Life cycle assessment of low cost retrofit options of educational building considering renewable and non renewable energies Akram Avami Energy engineering faculty, Sharif University of Technology, Tehran, I. R. Iran, Atiyeh Soleimani Javid Energy engineering systems group, Energy engineering faculty, Sharif University of Technology, Tehran, I. R. Iran Follow this and additional works at: Part of the Engineering Commons Recommended Citation Akram Avami and Atiyeh Soleimani Javid, "Life cycle assessment of low cost retrofit options of educational building considering renewable and non renewable energies" in "Life Cycle Assessment and Other Assessment Tools for Waste Management and Resource Optimization", Professor Umberto Arena, Second University of Naples, Italy Professor Thomas Astrup, Denmark Technical University, Denmark Professor Paola Lettieri, University College London, United Kingdom Eds, ECI Symposium Series, (2016). This Abstract and Presentation is brought to you for free and open access by the Proceedings at ECI Digital Archives. It has been accepted for inclusion in Life Cycle Assessment and Other Assessment Tools for Waste Management and Resource Optimization by an authorized administrator of ECI Digital Archives. For more information, please contact

2 Atiye Soleimani Javid Ms.c Student of Energy Engineering, Sharif University of Technology, Tehran, Iran. Prof. Akram Avami Energy Engineering Faculty, Sharif University of Technology, Tehran, Iran.

3 Buildings account for: World total Primary energy supply from 1971 to2013 More than one third global final energy demand 60% of the world s electricity use Climate Change One-third of energy-related Co2 emissions (GEA, 2012) Global energy-related Co2 emission by sectors(2015) Higher temperatures Extreme weather Water availability Sea level rise Permafrost melting International energy agency/ Key World energy statics

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5 Literature review Methodology Life Cycle of material and Energy systems Alvaro de Gracia et al, This study evaluates the environmental impact of including phase change materials(pcm) in a typical Mediterranean building. R. Azari, Effects of low to medium window to wall ratio and fiberglass window frame results in the impacts on Life Cycle energy and environmental performance of building envelopes. Building Optimization Ehsan Asadi et al., The practicability of the alternative materials for the external walls insulation, roof insulation, different window types and installation of a solar collector in the existing building and highlight potential problems that may arise Christina Diakaki et al The multi-objective decision model of this study allows the examination of a potentially infinite number of alternative measures for building retrofit. Building Life Cycle Optimization Amir Safaei, This research presents a modelling framework to optimize the design and operation of Dg for Portuguese commercial building sector, while considering the Life-Cycle Impact assessment and Life Cycle Costs of meeting the building energy demand. Ayat Osman, The research develope a framework and model to optimize a building s operation by integrating cogeneration systems and utility systems in order to meet building demand by considering the potential life cycle environmental impact that might result from meeting those demand as well as economical implications. 3

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7 Building Simulation 4

8 Department Of Energy Engineering Occupied Floor Area Unoccupied Floor Area Window to Wall Ratio External Wall U-Value [W/m2K] External Floor [W/m2K] Semi-exposed Wall Flat Roof Property % Existing Heating-cooling Systems Absorption Chiller Boiler Capacity[KW] Cop

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10 Monthly Heating and Cooling energy demand 6

11 Infiltration rate 7

12 2.1% 1.6% 8

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14 The employment of DGs is considered as a relevant mean to enhance the energy use in buildings. Technologies For DG o Cogeneration Combined Heat and power (CHP) And Combined Cooling heating and power (CCHP) o Photovoltaic o Solar Thermal o Wind Turbine o 15

15 Objective Functions: Minimizing Life Cycle Emission: Life Cycle Optimization Model Emission grid + Emission boiler + Emission PV + Emission WT + LCA Internal engine + LCA MicroTurbine Minimizing Total Cost: Electricity cost + Boiler operation_cost + Photovoltaic Pannel investmentcost + Wind Turbine investmentcost +CCHP Internal combustion engine_total cost + CCHP MicroTurbine_total cost Constrains: Meeting Heating demand: Heating Boiler + Heating CCHP = Heating demand Meeting Cooling demand: Cooling Absorptionchillerchiller + Cooling CCHP = Cooling demand Meeting electricity demand: Grid elec + Windturbine elec + Photovoltaic elec + InternalCombustionEngine elec + MicroTurbine elec = Electricity demand 11

16 Assumptions: 12

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18 Meeting Electricity Demand by DGs Optimal Capacity for DGs technology by minimizing GWP Reciprocating Engine Photovoltaic Capacity 100Kw 11KW Optimal Capacity for DGs technology by minimizing GWP Reciprocating Engine Photovoltaic Wind Turbine Capacity 50Kw 11Kw 600W 13

19 Kg co2 eq Kg co2 eq Methodology Ton Co2 emission reduction Ton Co2 emission reduction Share of DG in meeting Cooling demand in comparison with existing energy system in building Season1 Season2 Reciprocating engine(cchp) % 38% Season1 Absorption chiller Base case Grid Gas[Absorption Chiller] Wind Turbine Photovoltaic Boiler Reciprocating Engine Micro Turbine % 0 Season2 Grid Wind Turbine Boiler Micro Turbine 62% Base case Gas [Absorption chiller] Photovoltaic Rciprocating Engine 14

20 KGCO2EQ Methodology 42 Ton Co2 emission reduction 35 Ton Co2 emission reduction Share of DG in meeting Heating demand in comparison with existing energy system in building Season3 Season Reciprocating engine(cchp) 26% 52% Boiler 74% 47% KG CO2 EQ 0 Season3 Base case 0 Grid Wind Turbine Photovoltaic Season4 Base case Boiler Rciprocating Engine Micro Turbine Grid Boiler Rciprocating Engine 15

21 Emission[Kgco2 eq] Emission[Kgco2 eq] Emission[Kgco2 eq] Emission[Kgco2 eq] Methodology season Cost[$] Season Season Cost[$] Cost[$] Season Cost[$] 16

22 Thank you so much for your kind attention Contact info: Atiye Soleimani Javid Ms.c Student of Energy Engineering, Sharif University of Technology, Tehran, Iran. Prof. Akram Avami Energy Engineering Faculty, Sharif University of Technology, Tehran, Iran. World Resources Institute