A Review of Building Carbon Emission Accounting and Prediction Models

As an industry that consumes a quarter of social energy and emits third greenhouse gases, the construction has important responsibility to achieve carbon peaking neutrality. Based on Web Science, Science-Direct, CNKI, accounting prediction models emissions from buildings are reviewed. The emission factor method, mass balance actual measurement method analyzed. top-down bottom-up their subdivision introduced Individual building assessments generally adopt physical model, while urban economic input-output model. Most current studies follow path “exploring influencing factors then putting forward based factors”. driving mainly use Stochastic Impacts by Regression Population, Affluence, Technology (STIRPAT) Logarithmic Mean Divisia Index (LMDI) grey correlation degree other models. model is realized regression system dynamics mathematical models, as well Artificial Neural Network (ANN) Support Vector Machine (SVM) machine learning At present, research individual focuses operational consumption, for stages should become focus in future research.