Modelling the Italian household sector at the municipal scale: Micro-CHP, renewables and energy efficiency

This study investigates the potential of energy efficiency, renewables, and micro-cogeneration to reduce household consumption in a medium Italian town and analyses the scope for municipal local policies. The study also investigates the effects of tourist flows on town's energy consumption by modelling energy scenarios for permanent and summer homes. Two long-term energy scenarios (to 2030) were modelled using the MarkAL-TIMES generator model: BAU (business as usual), which is the reference scenario, and EHS (exemplary household sector), which involves targets of penetration for renewables and micro-cogeneration. The analysis demonstrated the critical role of end-use energy efficiency in curbing residential consumption. Cogeneration and renewables (PV (photovoltaic) and solar thermal panels) were proven to be valuable solutions to reduce the energetic and environmental burden of the household sector (−20% in 2030). Because most of household energy demand is ascribable to space-heating or hot water production, this study finds that micro-CHP technologies with lower power-to-heat ratios (mainly, Stirling engines and microturbines) show a higher diffusion, as do solar thermal devices. The spread of micro-cogeneration implies a global reduction of primary energy but involves the internalisation of the primary energy, and consequently CO2 emissions, previously consumed in a centralised power plant within the municipality boundaries.

[1]  M. Gargiulo,et al.  Municipal scale scenario: Analysis of an Italian seaside town with MarkAL-TIMES , 2012 .

[2]  Scott Kelly,et al.  Do homes that are more energy efficient consume less energy?: A structural equation model of the English residential sector , 2011 .

[3]  Fabio Polonara,et al.  Experimental characterization of an anode-supported tubular SOFC generator fueled with hydrogen, inc , 2011 .

[4]  Massimiliano Renzi,et al.  Application of artificial neural networks to micro gas turbines , 2011 .

[5]  J. Seixas,et al.  Projections of energy services demand for residential buildings: Insights from a bottom-up methodology , 2012 .

[6]  I. Azevedo,et al.  Residential electricity consumption in Portugal: Findings from top-down and bottom-up models , 2011 .

[7]  Irene P. Koronaki,et al.  Thermodynamic analysis and experimental investigation of a Solo V161 Stirling cogeneration unit , 2012 .

[8]  Stefano Ginocchio,et al.  Performance and life time test on a 5 kW SOFC system for distributed cogeneration , 2008 .

[9]  V. Ismet Ugursal,et al.  Modeling of end-use energy consumption in the residential sector: A review of modeling techniques , 2009 .

[10]  M. Newborough,et al.  Impact of micro-CHP systems on domestic sector CO2 emissions , 2005 .

[11]  Søren Knudsen Kær,et al.  Modeling and off-design performance of a 1kWe HT-PEMFC (high temperature-proton exchange membrane fuel cell)-based residential micro-CHP (combined-heat-and-power) system for Danish single-family households , 2011 .

[12]  R. Müller,et al.  A new solar radiation database for estimating PV performance in Europe and Africa , 2012 .

[13]  Gabriele Comodi,et al.  Local authorities in the context of energy and climate policy , 2012 .

[14]  Igor Bulatov,et al.  MicroCHP: Overview of selected technologies, products and field test results , 2008 .

[15]  S. Kær,et al.  Performance comparison between partial oxidation and methane steam reforming processes for solid oxide fuel cell (SOFC) micro combined heat and power (CHP) system , 2011 .

[16]  Adam Hawkes,et al.  Solid oxide fuel cell systems for residential micro-combined heat and power in the UK: Key economic drivers , 2005 .

[17]  Bert de Vries,et al.  Model projections for household energy use in India , 2011 .

[18]  M. Thring World Energy Outlook , 1977 .

[19]  Bert de Vries,et al.  A global model for residential energy use: Uncertainty in calibration to regional data , 2010 .

[20]  Detlef P. van Vuuren,et al.  Model projections for household energy use in developing countries , 2012 .

[21]  Maurizio Cellura,et al.  Photovoltaic electricity scenario analysis in urban contests: An Italian case study , 2012 .

[22]  Kenichi Wada,et al.  Energy efficiency opportunities in the residential sector and their feasibility , 2012 .

[23]  Flavio Caresana,et al.  Energy and economic analysis of an ICE-based variable speed-operated micro-cogenerator , 2011 .

[24]  R. Kannan,et al.  Modelling the UK residential energy sector under long-term decarbonisation scenarios: Comparison between energy systems and sectoral modelling approaches , 2009 .

[25]  Antonio Colmenar-Santos,et al.  Profitability analysis of grid-connected photovoltaic facilities for household electricity self-sufficiency , 2012 .

[26]  Geoffrey P. Hammond,et al.  Thermodynamic and carbon analyses of micro-generators for UK households , 2010 .

[27]  Massimiliano Renzi,et al.  Use of a test-bed to study the performance of micro gas turbines for cogeneration applications , 2011 .

[28]  Filip Johnsson,et al.  The effect of improved efficiency on energy savings in EU-27 buildings , 2013 .

[29]  Y. Shimoda,et al.  Evaluation of city-scale impact of residential energy conservation measures using the detailed end-use simulation model , 2007 .

[30]  P. R. Spina,et al.  Analysis of innovative micro-CHP systems to meet household energy demands , 2012 .

[31]  V. Bianco,et al.  Electricity consumption forecasting in Italy using linear regression models , 2009 .

[32]  E. Dunlop,et al.  Potential of solar electricity generation in the European Union member states and candidate countries , 2007 .