Municipal Profile
Why build Municipal Profile?
The Municipal Profile comprises a collection of structured socio-economic, demographic, and energy-relevant data of a city. It represents the foundation for integrated spatial and energy planning, and subsequently the development of clean energy transition strategies. It characterizes socio-economic activities of a municipality with the goal to link a city’s socio-economic, local and demographic context with the divers of energy demand (population, jobs, services, economics etc.).
Steps to construct Municipal Profile
DATA COLLECTION PHASE
As data availability varies across and within EU member states, start with sources for real-time monitoring data which can be disaggregated into energy demand by sector and fuel. Think about national, as well as local and regional municipal databases, Distribution System Operators (DSOs) which hold energy consumption data, national statistic offices, local surveys, and energy traders.
In lack of official monitoring data, the urban energy system modeling (UESM) introduces a modeling approach, involving model abstraction of buildings in a municipality combined with statistical data, climate data, and physics-based modeling, to derive energy demands. In general, PLENTY-Life applies a graded approach to data collection, prioritizing local sources, followed by regional and national levels.
To facilitate the collection of data for the establishment of a baseline energy balance, the PLENTY-Life project has developed a streamlined data collection template, which you can download here.
SOCIO ECONOMIC DATA
Relevant datasets include demographic and lifestyle data, as well as economic data. Think about determining parameters such as:
- Population size and growth rate, distribution in potential and active labor force, household sizes for demographic data.
- Consumption patterns, electrical appliance ownership and transport patterns for behavioral data,
- GDP growth rate and GDP by sector for economic data.
Common data sources include Open Data DB of the country, Local statistics offices, Local news, Open Street Map etc.
For further explanation and detailed description of the pilots, please click here.
Examples from Pilots:
TECHNOLOGICAL DATA
Relevant datasets include:
- Technologies in building sector (residential and service), which determine electricity and heat heating demand covering electric appliances and equipment, heating/cooling systems, building insulation levels etc.),
- Technologies of industry and transport sector, which provide production processes, their energy intensities, efficiencies, and the penetration of the energy carriers across different processes and temperature levels (space heating, steam generation and direct heat). These factors determine the useful energy demand for heat, motive power, and electricity specific use, as well as the corresponding final energy consumption by fuel.
Establishing an accurate baseline of the technologies currently in use is crucial for developing future scenarios, where technological progress of processes, penetration rates, and efficiencies of conversion technologies shape the scenario projections.
For further explanation and detailed description of the pilots, please click here.
Examples from Pilots:
ENERGY BALANCE
The final energy balance is built based on the end-use approach structured by sector of consumption covering Household, Services, Industry, Transport, Construction and Agriculture, and their relevant sub-sectors, as well as by energy carrier, e.g., electricity, district heating, coal, gas, oil products and their application to cover useful energy demand for heating, motive power and electricity specific use.
The final energy balance by sector and fuel forms the basis for establishing and calibrating the base year, linking and correlating current useful and final energy demand with the demographic, socio-economic, and technological drivers outlined above.
CO2-inventory: following the territorial principles (scope 1) the resulting direct CO2 emission occurring within the city boundaries are calculated by fuel and sector. Transport sector emission dominates for the most of pilot cities.
Examples from Pilots:
RE-SUPPLY POTENTIAL MAPPING
The goal is to determine technical, economic and social possibilities for different energy supply potentials. Typical energy supply potentials include:
- Solar energy (building integrated, and open space) in form of PV or solar thermal applications
- Wind energy potentials (at utility scale as well as on small wind scale)
- (shallow) Geothermal energy potentials,
- Industrial waste heat
- Biomass and Biogas
- Hydropower, etc.
Given the requirements on spatial and temporal dependencies for the utilization of local renewable energy sources in sustainable decarbonized energy systems (e.g. low-temperature heating grids), it is important to consider a high spatial and temporal resolution of energy supply potential mapping and modeling. This is especially related to the intermittency of solar and wind potentials.
For further detailed explanation of the process and examples from the pilots, please click here.
Examples from Pilots:
As data availability varies across and within EU member states, start with sources for real-time monitoring data which can be disaggregated into energy demand by sector and fuel. Think about national, as well as local and regional municipal databases, Distribution System Operators (DSOs) which hold energy consumption data, national statistic offices, local surveys, and energy traders.
In lack of official monitoring data, the urban energy system modeling (UESM) introduces a modeling approach, involving model abstraction of buildings in a municipality combined with statistical data, climate data, and physics-based modeling, to derive energy demands. In general, PLENTY-Life applies a graded approach to data collection, prioritizing local sources, followed by regional and national levels.
To facilitate the collection of data for the establishment of a baseline energy balance, the PLENTY-Life project has developed a streamlined data collection template, which you can download here.
Relevant datasets include demographic and lifestyle data, as well as economic data. Think about determining parameters such as:
- Population size and growth rate, distribution in potential and active labor force, household sizes for demographic data.
- Consumption patterns, electrical appliance ownership and transport patterns for behavioral data,
- GDP growth rate and GDP by sector for economic data.
Common data sources include Open Data DB of the country, Local statistics offices, Local news, Open Street Map etc.
For further explanation and detailed description of the pilots, please click here.
Examples from Pilots:
Relevant datasets include:
- Technologies in building sector (residential and service), which determine electricity and heat heating demand covering electric appliances and equipment, heating/cooling systems, building insulation levels etc.),
- Technologies of industry and transport sector, which provide production processes, their energy intensities, efficiencies, and the penetration of the energy carriers across different processes and temperature levels (space heating, steam generation and direct heat). These factors determine the useful energy demand for heat, motive power, and electricity specific use, as well as the corresponding final energy consumption by fuel.
Establishing an accurate baseline of the technologies currently in use is crucial for developing future scenarios, where technological progress of processes, penetration rates, and efficiencies of conversion technologies shape the scenario projections.
For further explanation and detailed description of the pilots, please click here.
Examples from Pilots:
The final energy balance is built based on the end-use approach structured by sector of consumption covering Household, Services, Industry, Transport, Construction and Agriculture, and their relevant sub-sectors, as well as by energy carrier, e.g., electricity, district heating, coal, gas, oil products and their application to cover useful energy demand for heating, motive power and electricity specific use.
The final energy balance by sector and fuel forms the basis for establishing and calibrating the base year, linking and correlating current useful and final energy demand with the demographic, socio-economic, and technological drivers outlined above.
CO2-inventory: following the territorial principles (scope 1) the resulting direct CO2 emission occurring within the city boundaries are calculated by fuel and sector. Transport sector emission dominates for the most of pilot cities.
Examples from Pilots:
The goal is to determine technical, economic and social possibilities for different energy supply potentials. Typical energy supply potentials include:
- Solar energy (building integrated, and open space) in form of PV or solar thermal applications
- Wind energy potentials (at utility scale as well as on small wind scale)
- (shallow) Geothermal energy potentials,
- Industrial waste heat
- Biomass and Biogas
- Hydropower, etc.
Given the requirements on spatial and temporal dependencies for the utilization of local renewable energy sources in sustainable decarbonized energy systems (e.g. low-temperature heating grids), it is important to consider a high spatial and temporal resolution of energy supply potential mapping and modeling. This is especially related to the intermittency of solar and wind potentials.
For further detailed explanation of the process and examples from the pilots, please click here.
Examples from Pilots: