B&M_3_2_2019 ISSN-2530-8157 Building & Management Volumen 3 Issue 2 | Page 28

B UILDING & M ANAGEMENT V OLUME 3 I SSUE 2 M AY - A UGUST 2019 T HE CIT Y F I ED M ETHODOLOGY FOR CITY RENOVATION AT DISTRICT LEVEL E. V ALLEJO , C. C RIADO , E. A RRIZABALAGA , G. M ASSA AND A. V ASALLO (2019). B UILDING & M ANAGEMENT , 3(2): 23-33 identified for the city. This will provide a clearer vision about how the decisions have contributed to the achievement of the final results. In this context, under the umbrella of Sustainable Strategic Urban Planning, a novel methodology for urban renovation at district level is proposed and validated by the European Smart City project CITyFiED (Grant Agreement Nº 609129). 1. I NTRODUCCIÓN T he optimization and the particularization of the urban energy planning processes to each city is becoming an increasing necessity for municipalities. According to the literature, the specific dimensions covered by this concept can vary depending on its interpretation. However, most of the authors agree on the necessity of adopting a holistic perspective including the tecno-economic, social and environment aspects when approaching to the problem. 2. CIT Y F I ED M ETHODOLOGY FOR CITY RENOVATION AT DISTRICT LEVEL During the last years, a great activity has occurred in this field. Many efforts have been made in the standardization of smart cities. An example of it, is the case of the Technical Committees and Working Groups of the ISO TC/268 Sustainable cities and communities. Nevertheless, most of these works are focused on the definition of several common criteria and a methodology for measuring the level of smartness and the sustainability of cities. Although this is a relevant part of the energy planning process, which provides a better understanding of the initial situation and the evolution of the performance of cities, several aspects such as the relation with the decision that are made during the energy planning process are not clearly established. Meeting the ambitious targets set by the European Union (EU), i.e. reducing greenhouse gas emissions 20% by 2020, 40% by 2030 and 80% by 2080 respect to the values of 1990 is essential to reach the objectives of the Paris Agreement [2]. This agreement aims to limit the temperature rise this century below 2 degrees Celsius above pre-industrial levels. The role of cities in climate change mitigation is currently acknowledged, particularly in European cities where more than the 70% of the population lives in urban areas [3]. Besides, it is expected that two third of the world’s population will be living in an urban area by 2050 [4]. More specifically, small and medium sized cities are the ones that represent the highest improvement potential considering that they represent the 83% of the European cities [5]. Besides, around 45% of their buildings were built before 1969, 32% between 1970 and 1989 and only 9.3% in the 90’s, what represents a huge opportunity due to the massive amount of buildings that are susceptible to be refurbished. From another point of view, the advances occurred in the field of the energy modelling and the scenario development at city scale need to be also mentioned. This practice has been traditionally more used for energy planning issues at national scale but nowadays the interest for applying this approach to the regional and city context is increasing rapidly. However, as described by Park [1] the scope of city planning includes also a range of interdependent decisions at the nexus of the private and public spheres. Besides, as in the cases of the sustainability assessment frameworks of cities, the way of considering the role of the main stakeholders during the entire energy planning and more specifically in the decision-making process is difficult to understand when focusing the view in the detailed technical aspects of the energy modelling. Therefore, the energy consumption reduction in cities and particularly in the building sector is a theme of interest for the European Union. However, it is still a challenge for municipalities to decide how to define and prioritize the different measures that can be implemented in the different zones of the cities. In this regard, one of the first steps is the identification of the areas of the city that are susceptible to be intervened. This is precisely the step in which the city analysis through the evaluation of its districts is useful and necessary. Despite all this experiences and activities in the field, energy planning of cities is still a challenge. An important part of the complexity relies on the necessity of combining many different technical and non-technical phases in which the role and the interaction of a number of different stakeholders need to be properly considered. Besides, in most of the cases little information is available about how and in which phases the decisions are adopted. Moreover, many municipalities do not have the needed specialized and diverse capacities required to cover the entire process. Most of them depend on external consultancy groups that guide them. Among other benefits, the evaluation at district scale facilitates developing a more detailed analysis covering aspects such as; the identification of the current situation, the identification of the specific objectives and necessities, the modelling of the different scenarios for the energy, social and economic analysis, the prioritization of measures and the identification of the optimum scenario. On the other hand, it is relevant to remark that in the context of the sustainable urban renovation, the decision makers are generally political and social players who stablish goals and who define priorities for the city according to the information that they have available. Taking this into account, the role of methodologies and tools that provide a comparison of the existing alternatives is essential to support the decision makers But the specific process to be followed is still unclear and there is a need of holistic methodologies and tools that consider a global approach and that define clearly the procedure for considering in each phase the participation of the stakeholders 24