A regional environmental accounting matrix and integrated environmental economic analyses to support regional planning

This research deals with the deepening and use of an environmental accounting matrix in Emilia-Romagna, RAMEA air emissions (regional NAMEA), carried out by the Regional Environment Agency (Arpa) in an European project. After a depiction of the international context regarding the widespread needing to integrate economic indicators and go beyond conventional reporting system, this study explains the structure, update and development of the tool. The overall aim is to outline the matrix for environmental assessments of regional plans, draw up sustainable reports and monitor effects of regional policies in a sustainable development perspective. The work focused on an application of a Shift-Share model, on the integration with eco-taxes, industrial waste production, energy consumptions, on applications of the extended RAMEA as a policy tool, following Eurostat guidelines. The common thread is the eco-efficiency (economic-environmental efficiency) index. The first part, in English, treats the methodology used to build a more complete tool; in the second part RAMEA has been applied on two regional case studies, in Italian, to support decision makers regarding Strategic Environmental Assessments’ processes (2001/42/EC). The aim is to support an evidence-based policy making by integrating sustainable development concerns at all levels. The first case study regards integrated environmental-economic analyses in support to the SEA of the Regional Waste management plan. For the industrial waste production an extended and updated RAMEA has been developed as a useful policy tool, to help in analysing and monitoring the state of environmental-economic performances. The second case study deals with the environmental report for the SEA of the Regional Program concerning productive activities. RAMEA has been applied aiming to an integrated environmental-economic analysis of the context, to investigate the performances of the regional production chains and to depict and monitor the area where the program should be carried out, from an integrated environmental-economic perspective.

Towards the Enabling City: Intermediate Places between Practices and Planning for Social Innovation in Bologna

The research investigates the interaction between social innovation practices and urban planning, assuming as a case study and field of application the city of Bologna, observed from the point of view of the production of urban policies and with respect to the places where it is practiced. Social innovation are localised actions tackling current urban complexities with micro-scale practices of service and urban production, by which new urban actors find answers to social needs, which are less afforded by the market and the public sectors. Planning and social innovation practices are two dimensions working in the city in different but complementary ways, subject to a mismatch. Through the lenses of interaction, the research explores the context of Bologna, a paradigmatic study and application field, a laboratory of innovative policies where a tradition of collective civic initiatives intertwines with a more responsible institutional planning framework. After drawing from area-based policies of Berlin and Barcelona, the thesis reads the role of specific intermediate places, mediators in bridging the level of institutions and the practices. Through an inventory and a cross-cutting taxonomy of intermediate places, the research draws the knowledge to inform a new urban model for the city of Bologna, aimed at overtake the mismatches by enabling the practices to act, allowing urban planning to frame them in a cross-fertilisation dimension. The proposed urban diagrammatic model, foresees intermediate places as local socio-urban observatories for research and development, interacting with both institutions and communities. The goal is to critically explore the limits and widen the meaning of the capacity of action of social innovation practices engaging in mutual-learning with the city. The model suggests a new possibility for reflection on urban planning as a more flexible approach, which translates the numerous experiences of the city into alternatives and multiple visions.

Exact and heuristic algorithms for the integrated planning of multi-energy systems

The aim of this thesis is to present exact and heuristic algorithms for the integrated planning of multi-energy systems. The idea is to disaggregate the energy system, starting first with its core the Central Energy System, and then to proceed towards the Decentral part. Therefore, a mathematical model for the generation expansion operations to optimize the performance of a Central Energy System system is first proposed. To ensure that the proposed generation operations are compatible with the network, some extensions of the existing network are considered as well. All these decisions are evaluated both from an economic viewpoint and from an environmental perspective, as specific constraints related to greenhouse gases emissions are imposed in the formulation. Then, the thesis presents an optimization model for solar organic Rankine cycle in the context of transactive energy trading. In this study, the impact that this technology can have on the peer-to-peer trading application in renewable based community microgrids is inspected. Here the consumer becomes a prosumer and engages actively in virtual trading with other prosumers at the distribution system level. Moreover, there is an investigation of how different technological parameters of the solar Organic Rankine Cycle may affect the final solution. Finally, the thesis introduces a tactical optimization model for the maintenance operations’ scheduling phase of a Combined Heat and Power plant. Specifically, two types of cleaning operations are considered, i.e., online cleaning and offline cleaning. Furthermore, a piecewise linear representation of the electric efficiency variation curve is included. Given the challenge of solving the tactical management model, a heuristic algorithm is proposed. The heuristic works by solving the daily operational production scheduling problem, based on the final consumer’s demand and on the electricity prices. The aggregate information from the operational problem is used to derive maintenance decisions at a tactical level.