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The strict CO 2 emission targets set to tackle the global climate change associated with greenhouse gas emission exerts so much pressure on our cities which contribute up to 75% of the global carbon dioxide emission level, with buildings being the largest contributor [1] . Premised on this fact, urban planners are required to implement proactive energy planning strategies not only to meet these targets but also ensure that future cities development is performed in a way that promotes energy-efficiency. This article gives an overview of the state-of-art of energy planning and forecasting approaches for aiding physical improvement strategies in the building sector. Unlike previous reviews, which have addressed mainly the strengths as well as weaknesses of some of the approaches while referring to some relevant examples from the literature, this article focuses on critically analysing more approaches namely; 2D GIS and 3DGIS (CityGML) based energy prediction approaches, based on their frequent intervention scale, applicability in the building life cycle, and conventional prediction process. This will be followed by unravelling the gaps and issues pertaining to the reviewed approaches. Finally, based on the identified problems, future research prospects are recommended. [ABSTRACT FROM AUTHOR]

Recently, the built heritage sector has witnessed an increase demand for 3D models of historical sites mainly due to the widespread of new technologies in buildings' surveying. Although these technologies have been credited for enabling highly detailed 3D modelling of the built heritage, their implementation is still so complex and costly. This research aims to explore the possibility of implementing new low-cost digital acquisition technologies and modelling techniques as an alternative to the existing expensive ones in terms of level of detail (LOD), as an attempt to enable lowskilled users in simplified environment, which are faced paced leaning milieus in education, places with high constraints, or developing countries, to practically learn about their built heritage; consequently, contribute to its preservation. To achieve this purpose, the most diffused SFM and laser scanning open-source packages were first cross-compared using web-content analysis data collection method. Afterwards, the best programme from each category namely; Autodesk 123D catch and Reconstructme, accompanied with Canon D550 camera and Xbox Kinect, respectively, were intensively evaluated through an experiment. The analysis of the findings has suggested that low-cost close-range photogrammetry can replace laser scanning when there is a lack of funding and time. [ABSTRACT FROM AUTHOR]