Efficient Simulation of Building Energy Systems Using Personal Computers: CISS: First Joint Conference of International Simulation Societies Proceedings, August 22-25, 1994 ETH Zurich, Switzerland
Building Energy Simulation and Optimization (BESO).
Optimization of energy consumption of the building requires consideration of the building materials, their thickness and mass, type and thickness of insulation, location of the insulation layer and climate comfort.
The correct way to optimize all the above parameters is calculation of temperatures and energy transfer in dynamic process, which means considering changes every few seconds. This may be done only with dedicated dynamic computer simulation program.
Such dedicated computer program was developed to simulate energy transfer and utilization in residential buildings in order to optimize energy conservation measures in buildings considering climate comfort and economic evaluation. The name of the program is Building Energy Simulation and Optimization (BESO).
The program allows dynamic simulation of energy in buildings considering building details and weather conditions. The program output includes energy parameters, like room temperatures and energy consumption.
The program simulates dynamically, second-by-second, energy transfer between the layers of the building elements considering changing ambient temperature and solar radiation. The process involves calculation of temperatures of each building element and room temperatures separate to each room. Temperatures are recorded for each integration interval (each second). The program calculates energy consumption for air conditioning and for space heating, separately for each room.
The program calculates also the maximum power of air conditioning and space heating units in every room. This allows selection of correct size units, avoiding usual over-estimation.
This program simulates dynamically the second-by-second temperature changes in apartment rooms as determined by climatic conditions, occupants behavior, building parameters, adjacent apartments, government policy, electricity peak/off-peak tariffs and other factors.
The program optimizes energy conservation measures for climate comfort, and saving of space heating and air conditioning cost.
In the simulation and optimization of building energy systems, particularly with personal computers, efficiency of data entry, computation, and report generation are of great importance.
Disregarding such optimization leads to wrong decisions, wrong design, waste of money for building's construction, increased energy consumption and less comfortable temperatures.