Author Archives: 10036381@polimi.it

AMBER sul CORRIERE DELLA SERA

Giovanni Caprara firma storica e responsabile della redazione scientifica del Corriere della Sera ha dedicato un articolo alla frammentazione fluviale e al nostro progetto H2020 AMBER. L’articolo è apparso su Buone Notizie  il settimanale del Corriere della Sera in edicola il martedì che dà voce alle storie positive di impegno e solidarietà.  L’articolo si può leggere online QUI e  verrà tradotto per altre importanti testate internazionali tra cui Le Figaro ed El Pais. Ecco un estratto:

I bacini fluviali sono una risorsa preziosa in ogni continente, ma la molteplicità degli interventi umani non adeguatamente gestiti ha prodotto alterazioni dannose non solo ai corsi d’acqua ma anche agli ecosistemi  che rappresentano. Dunque, sono una fonte di seri problemi ambientali, invece che di vantaggi offerti dalla natura

SMARTH2O won the WssTP Digital Water Award 2018

Our EU FP7  project SmartH2O has been conferred the WssTP Digital Water Award 2018, awarded by the Water Supply and Sanitation Technology Platform a platform consisting of 179 members and a network of more than 700 individuals from Industry, research, technology providers, policy makers and water users. The SmartH2O technology is a data-driven software platform that allows water or multi-utilities and smart meters producers to manage customer demand, optimize their operations, and foster customer engagement and has been demonstrated in Valencia, Spain, and Tegna, Switzerland. The award ceremony was held in Brussels on 13.06.2018, where Dr. Andrea Cominola (Politecnico di Milano) and Joan Carles Guardiola Herrero (Global Omnium water utility – Valencia) received the prize during the Water Innovation Europe 2018 conference hosted by WssTP.  More information HERE

Declining nuclear era and opportunities for hydropower: a new paper on JWRPM

Hydropower systems contribute to the welfare of a country by producing renewable and clean electricity and by generating revenue. Market liberalization and increasing share of new renewable energy sources, with associated increase in price volatility, are profoundly reshaping hydropower operations in many countries where these developments have already taken place. In this evolving context, some European countries are phasing out nuclear power plants and looking for alternatives to replace the lost production share. Hydropower is one of the candidates, particularly in water-abundant hydrological regions, where large storage hydropower systems contribute a big share of the production. Yet, shifting current revenue-oriented operations toward a production-maximizing strategy might come to the cost of a reduction in income for hydropower companies. In this paper, we specifically explore trade-off between maximizing hydropower electricity production and revenue in deregulated markets. Our results show that a production-driven operation might have strong consequences on the hydropower company income, suggesting that there is a low rate of substitution between the two objectives in the current energy market situation. More HERE

Dynamic preference modelling: a new paper on WRR

Multipurpose water systems are usually operated on a tradeoff of conflicting operating objectives. Under steady state climatic and socioeconomic conditions, such tradeoff is supposed to represent a fair and/or efficient preference. Extreme variability in external forcing might affect water operators’ risk aver- sion and force a change in her/his preference. We argue that preference selection evolves according to recent, extreme variations in system performance: underperforming in one of the objectives pushes the preference toward the harmed objective. To test this assumption, we developed a rational procedure to simulate the operator’s preference selection. We map this selection onto a multilateral negotiation, where multiple virtual agents independently optimize different objectives. The agents periodically negotiate a compromise policy for the operation of the system. Agents’ attitudes in each negotiation step are determined by the recent system performance measured by the specific objective they maximize. We then propose a numerical model of preference dynamics that implements a concept from cognitive psychology, the availability bias. We test our modeling framework on a synthetic lake operated for flood control and water supply. Results show that our model successfully captures the operator’s preference selection and dynamic evolution driven by extreme wet and dry situations. More HERE