2016年-世界发展银行全球_Long-Term_Energy_Demand_Forecasting_in_Romania___An_End-Use_Demand_Modeling_Approach_38页_836kb

Long-Term Energy Demand Forecasting in Romania: Summary

Core Content

This study presents a detailed end-use energy demand analysis model for Romania, projecting energy demand by sector and end-use from 2015 to 2050. The model is based on an activity-structure-intensity (ASI) framework and incorporates demographic, socio-economic, and technological variables to forecast future energy consumption patterns.

Main Viewpoints

• Energy Demand Growth: Romania's total final energy demand (FED) is projected to increase by 34% by 2050 compared to 2013 levels.
• Sectoral Shift: The industry sector is expected to become the largest final energy-consuming sector from 2025 onward, surpassing the residential sector.
• Services Sector Growth: The services sector will experience the fastest growth in energy consumption, driven by structural changes from manufacturing to services.
• Electricity Demand: Despite a projected 7% population decline by 2050, electricity demand is expected to increase by 46%, mainly due to rising household income and the expansion of the service sector.
• Per Capita Consumption: Romania's per capita electricity consumption will still be about half of the EU-28 average in 2050.
• Dominant End-Uses: Thermal processes in industry, space heating in residential and services sectors, and road transportation in the transport sector are expected to remain the dominant end-uses throughout the study period.
• Energy Efficiency: Improving energy efficiency in heating systems is identified as a key strategy to reduce overall energy demand in the country.

Key Information

Current Energy Demand Structure (2013)

• Total FED: 21.8 Mtoe
• Residential Sector: 36% of total FED, driven by high heating demand and an aging housing stock
• Industry Sector: 29% of total FED, with a significant decline in energy intensity by 70%
• Transport Sector: 24% of total FED, with oil products accounting for over 76% of the sector's energy use
• Services Sector: 8% of total FED, but expected to grow rapidly
• Fuel Mix: Oil products (30%), natural gas (27%), biomass and renewable wastes (17%), electricity (16%), and coal (3%)

Methodology

• Model Type: End-use bottom-up model, which allows for detailed projections at the sub-sector and end-use level
• Sectors Considered: Residential, services, industry, and transport
• Sub-Sectors and End-Uses:
  • Residential: Cooking, lighting, water heating, space heating, space cooling, and electric appliances
  • Services: Divided into 7 sub-sectors (office, educational, hospital, etc.)
  • Industry: Divided into 4 sub-sectors (agriculture, construction, mining, manufacturing)
  • Transport: Divided into 5 sub-sectors (road, rail, air, waterways, pipeline)
• Model Equations:
  • $E_{X}(t) = \sum_{x} E_{x,X}(t) = \sum_{y} E_{y,x,X}(t)$
  • $E_{y,x}(t) = A_{y,x}(t) \cdot S_{y,x}(t) \cdot EI_{y,x}(t)$
  • $TD_{k,T}(t) = \sum_{j} TD_{j,k,T}(t) = \sum_{j} TDD_{j,k,T}(t) \cdot TI_{j,k,T}(t)$
  • $TI_{j,k,T}(t) = TI_{j,k,T}(t - n) \cdot (1 + R_{j,k,T}(t))^{n}$

Scenarios

• Baseline Scenario: Reflects current trends and policies, assuming continued socio-economic development and technological progress.
• High Demand Scenario: Assumes faster economic and population growth, higher appliance ownership, and increased transport mobility.
• Low Demand Scenario: Assumes slower economic and population growth, lower appliance ownership, and reduced transport mobility.

Key Assumptions

• Data sources include Romania's National Institute of Statistics (INS), Eurostat, World Bank, IEA, and BPIE.
• Scenarios are calibrated using historical data and projections for population, GDP, and other socio-economic indicators.
• The model does not include fuel type breakdown, as it is based on technological and price factors outside the scope of the study.

Conclusion

The study highlights the importance of detailed energy demand modeling for effective implementation of EU energy and climate strategies in Romania. It emphasizes the role of energy efficiency improvements in reducing demand, especially in the heating sector, and underscores the need for targeted policies to manage the projected increase in energy consumption, particularly in the services and transport sectors.