Difference between revisions of "BIOHER assessment"
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*Population in Bioher | *Population in Bioher | ||
** Used population in Bioher is 10 000 inhabitants | ** Used population in Bioher is 10 000 inhabitants | ||
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'''House stock''' | '''House stock''' | ||
| − | + | *[[Floor area in Bioher]] | |
| − | *[[Heating systems in buildings in Finland|Detached buildings with own heating system or with district heating system]] | + | **[[Heating systems in buildings in Finland|Detached buildings with own heating system or with district heating system]] |
**Fuel type | **Fuel type | ||
**Volume/area of buildings | **Volume/area of buildings | ||
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Contents
Health and climate impacts of heat production in small municipalities (BIOHER)
This is assessment page of Bioher. Bioher is a research project coordinated by National Institute for Health and Welfare (THL). The duration is 2008-2011. Project includes five subprojects with 1) measurement of PM and greenhouse gas emissions, 2) chemical characterization and assessment of atmospheric thermal impact of emitted PM, 3) toxicological characterization of emitted PM, 4) assessment of exposure to and health effects of current residential wood combustion, 5) assessment of health risks.
This assessment page includes scope, definition, and result of health risk assessment of fine particles of four residential heating scenarios/decisions. Main study questions are:
- How human risks differs between four heating scenarios/decisions?
- What are the costs of emissions and health effects due to different heating scenarios/decisions?
- What are climate change impacts of PM emissions and health effects due to CC?
The Analytica model can be accessed here
Scope
Purpose
The purpose is to evaluate PM2.5 and green house gas (GHG) emissions of detached houses and small heating power plant, to assess exposure and health effects due to evaluated emissions and to define emission, heating and health effect costs. Assessment is going to compare four alternative ways to arrange decentralized energy production in communities with 2000 - 10000 inhabitants: light oil and pellets as fuel of detached houses and heavy oil and wood chips as fuel of small heating plants. In addition, environmental effects i.e. climate change (CC) of PM2.5 and GHG emissions is assessed with this model.
Questions:
- What would be the health effects of PM2.5 emissions of small power plant and individual houses in small living area (2000- 10000 inh.)?
- What are GHG emissions of individual houses and small power plant and how emissions effect on CC?
- What are the costs of different alternatives?
- What is the optimal decision to produce energy and heat to houses?
Boundaries
- Energy production (single house and small energy plant level, 1-20MW)
- Population (2000-10000 inh.)
- Exposure for PM2.5
- ER-functions for PM2.5
- PM2.5 emissions (->health effects)
- PM2.5 climate effect (-> health effects)
- Household heating scenarios:
- Light oil and pellets
- Small heating plant scenarios:
- Heavy oil and wood chips
- Atmospheric thermal impact
- DALY
- Impacts:
- Climate change
- Premature mortality
- Costs
Scenarios
Scenarios include two different fuel types of energy production in detached houses and small power plant:
Detached houses
- light oil
- Pellets
Small power plant
- Heavy oil
- Wood chips
Intended users
- City-level policy-makers in all sectors in Kuopio as well as everywhere else
- International policy-makers related climate change
- Policy-makers related health risks of fine particles and green house gases
- General public
- Scientists working on health risks of fine particles, green house gases and climate change
- Other interested of topic
Participants
- Assessment and Modelling Unit of THL
- Jouni (as researcher in charge)
- Pauliina
- Virpi (CLAIH)
- Pasi (Emissions)
- Mikko
- Marko
- Other researchers related Bioher -project
Definition
Variables
Decision
- Decisions of citizen level between different heating systems
- Is there district heating system available (emissions from small power plant -> decisions of society level)
- Own heating system: fuel types (pellets/light oil)
- Building stock (energy efficiency of buildings)
- Decisions of society level
- Extent of district heating system
- Fuel type of energy production (heavy oil/wood chips)
- Building stock (energy efficiency of buildings)
Population
- Population in Bioher
- Used population in Bioher is 10 000 inhabitants
- Population of Finland
House stock
- Floor area in Bioher
- Detached buildings with own heating system or with district heating system
- Fuel type
- Volume/area of buildings
- Energy efficiency of buildings in Finland
- Heating consumption of buildings => need of energy for heating
- Heating consumption of the buildings (kW/m2/year)
- Thermal energy for warm tap water
Emission
- Emission factors for burning processes
- PM2.5 emissions from house stock heating in Finland
- Emissions of domestic combustion
- Emissions of small power plant
- CO2 emissions from house stock heating in Finland
- Emissions of domestic combustion
- Emissions of small power plant
- CH4 emissions from house stock heating in Finland
- N2O emissions from house stock heating in Finland
- GHG emissions from land use change
Exposure
- PM2.5 concentration in Finland
- Exposure of Finnish subpopulations to fine particles due domestic wood combustion
- Population is example of small municipality area (10000inh.) in Finland Population of Finland.
- Intake fraction
- Breathing rate
- Exposure to PM2.5 in Finland
Health effect
Exposure-response (ER) function
- Long-term effects of exposure to PM2.5
- Cardiovascular ER (mortality/morbidity)
- Respiratory ER (mortality/morbidity)
- Cancer ER?
- Pulmonary mortality
Mortality
- Mortality/morbidity of Finnish population (2000-10000inh) caused by PM2.5 emissions of domestic heating production expressed as number of incidents
- Cardiovascular effects
- Respiratory health effects
- Cancer?
- Total premature mortality
- Asthma incidences
- Hospital admissions
Expenses
- Costs of energy production
- Costs of health effects
Climate change
- Positive effect (warming)
- CO2
- BC (black carbon)
- CH4
- N2O
- CFC
- NOx?
- H2O?
- Negative effect (cool down)
- PM2.5
- Albedo (soil surface, snow, clouds)
Analyses
- Cost-benefit and cost-effectiveness analyses
- value-of-information (VOI) analysis
