<?xml version="1.0" encoding="UTF-8"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns="http://purl.org/rss/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel rdf:about="http://hdl.handle.net/10174/5259">
    <title>DSpace Collection:</title>
    <link>http://hdl.handle.net/10174/5259</link>
    <description />
    <items>
      <rdf:Seq>
        <rdf:li rdf:resource="http://hdl.handle.net/10174/39801" />
        <rdf:li rdf:resource="http://hdl.handle.net/10174/30966" />
      </rdf:Seq>
    </items>
    <dc:date>2026-07-30T22:43:56Z</dc:date>
  </channel>
  <item rdf:about="http://hdl.handle.net/10174/39801">
    <title>Mobile E-Bike Sharing Systems with Integrated Photovoltaics: Electric Mobility Solutions for Large Events in Évora, Portugal</title>
    <link>http://hdl.handle.net/10174/39801</link>
    <description>Title: Mobile E-Bike Sharing Systems with Integrated Photovoltaics: Electric Mobility Solutions for Large Events in Évora, Portugal
Authors: Oliveira, Helena; Carmo, Paulo; Silva, José; Fialho, Luís; Infante, Paulo; Horta, Pedro
Abstract: Mobile e-bike sharing stations integrated with photovoltaics are proposed for Évora to serve baseline urban demand and event-related surges while respecting heritage constraints. The system is powered primarily by photovoltaics, with optional grid-assist for resilience. We present a siting–sizing framework that (i) selects candidate locations via AHP and a p-median model based on origin–destination flows and travel times, and (ii) sizes PV and storage under two energy hypotheses: full-recharge of all e-bikes versus a usage-driven demand model (Wh/km × trip length × trips/bike). Using worst-month irradiance and aggregate conversion losses, a worked example shows that the full-recharge assumption yields higher capacities (≈6 kWp PV + 25 kWh storage per 10 bikes for event peaks), whereas the usage-driven model reduces sizing substantially while meeting service levels; both are reported to ensure robustness. This compact framework is directly applicable to heritage cities planning PV-micromobility for large events.</description>
    <dc:date>2025-11-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://hdl.handle.net/10174/30966">
    <title>Geometric optimization of linear Fresnel reflector solar collector using a genetic algorithm</title>
    <link>http://hdl.handle.net/10174/30966</link>
    <description>Title: Geometric optimization of linear Fresnel reflector solar collector using a genetic algorithm
Authors: Cavaleiro Costa, Sérgio; Santos, André; Canavarro, Diogo; Malico, Isabel; Janeiro, Fernando
Abstract: In this work, the optimization of a Linear Fresnel Reflector solar concentrator through a parallelized Multi-offspring Genetic Algorithm is presented. An analytical description of the concentrator was developed and used to compute specific annual collected energy; this is the fitness function to be maximized. Selection, reproduction, and mutation operators were defined to produce diversity of individuals. Elitism was applied to the best subject of the population, so that it is kept in the following generations. The results show a tendency towards systems that privilege larger gaps between heliostats, as this reduces shading and blocking effects. Additionally, concentration was found to be at the lower bound of search, the receiver tends to be positioned as high as possible and mirrors to be as short as possible. So, for these constraints we found an optimal fitness of 1238.35 kWh/m2 for Évora.</description>
    <dc:date>2021-01-01T00:00:00Z</dc:date>
  </item>
</rdf:RDF>

